CN106887839A - The distribution terminal of the consideration information wrong influence of link data transfer is layouted optimization method - Google Patents

Abstract

A kind of distribution terminal of the wrong influence of consideration information link data transfer is layouted optimization method.It includes setup module；Feeder line species is divided；Distribution terminal deployment configuration is divided；Fault state is divided；Quantify data acquisition needed for Modeling Calculation；Quantify Modeling Calculation；The information wrong event of link data transfer is divided；Information data is gathered；Calculating process is modified；Feeder line distribution terminal is obtained to layout the steps such as program results.The present invention can effectively instruct to analyze influence of " three the is distant " function to system blackout time, mixed economy cost and to distribution terminal deployed position, contribute to the power supply reliability and quality of voltage of preferably raising power network, the efficiency of management of distribution terminal is lifted, there is guiding significance to improving China power distribution automation level, the intelligent grid construction of propulsion China.

Description

The distribution terminal of the consideration information wrong influence of link data transfer is layouted optimization method

Technical field

The invention belongs to feeder line distribution power automation terminal configuring technical field, more particularly to a kind of consideration information link number Layouted optimization method according to the distribution terminal for transmitting wrong influence.

Background technology

Power distribution automation (Distribution Automation, DA) system can be considered the information physical system of a quasi-representative System (Cyber-Physical Systems, CPS), the safe and reliable power supply of physics distribution system of its information link to being managed With the influence that can not ignore.In practical application, the often in summary spy of the substandard distribution power automation terminal of different classifications Point, it is divided into " three is distant " distribution terminal and " two is distant " major class of distribution terminal two on the whole.Wherein, " three is distant " function refers to distant Letter, telemetry and telecommand function.Power distribution automation is different from all standing of major network dispatching automation (EMS) grid nodes, equipment and supervises entirely The requirement of control, distribution net equipment is multi-point and wide-ranging and the characteristics of radial operation and due to the aspect such as investment, distribution is automatic The construction of change typically takes part of nodes remote control, the mode of part of nodes remote measurement to realize 10kV distribution information gatherings, by data It is shared to complete all standing of distribution information and the control of 10kV key nodes.As in distribution network planning distribution automation planning it is important One ring, the reasonable disposition of remote measuring and controlling terminal has vital influence for playing the benefit of power distribution automation.

Information link with power distribution communication as representative is to realize the important component of power distribution automation.At this stage, for The research of power distribution automation information link has focused largely on power distribution automation communication network technology (political affairs of [1] South Korea, the third boundary bases of Xu In senior power distribution automation open communication system [J] the electric power network techniques of IEC61850,2011,35 (4)：183-186. [2] Lin Beautiful China, mixed communication scheme [J] Automation of Electric Systems of Liu Jian electrical power distribution automatization systems, 2001,25 (23)：52-54. [3] Liu Jian, Zhang Zhihua, Zhang little Qing, wait distribution network failure treatment [J] power systems that relay protections coordinate with power distribution automation Protection and control, 2011,39 (16)：53-57.), ([3] Liu Jian, Zhang Zhihua opens small power distribution automation troubleshooting application technology Celebrating, waits distribution network failure treatment [J] electric power system protection and controls that relay protections coordinate with power distribution automation, 2011,39 (16)：53-57. [4] Liu Jian, Zhang little Qing, Zhao Shuren, waits power distribution automation troubleshooting performances main website to inject method of testing [J] Automation of Electric Systems, 2012,36 (18)：67-71) with the framework and construct and design ([5] Liu Wenxia, the glad of tension force of communication system [J] east china electric powers, 2010,38 (1) are assessed based on electrical power distribution automatization system information security grade FAHP theoretical with D-S is improved： 67-71) how aspect, consider the influence of information link in electrical power distribution automatization system, is ground as a complete CPS system The planning problem of layouting of the quantity planning and specific deployed position of studying carefully its terminal still has more element task urgently to carry out.Liu Xiaozhong (Communication System for Distribution Automation design and realization [D] Beijing based on EPON technologies：North China Electric Power University, 2014) propose Effective means of communication is taken in power distribution automation can improve the accuracy of data transfer so that distribution terminal equipment can be with standard The really operational order of reflection operating personnel, and then raising Distribution Network Reliability.(wireless private network communication is automatic in Dalian distribution for Wu Lin etc. Application [J] communication of power system in change, 2012,22 (231)：107-111) elaborate Dalian wireless private network communication automation system The key technology of middle application, it is proposed that wireless network encrypts the construction requirements with private network, can be built for power distribution automation communication network If providing exemplary role.Tang Lin (design of Communication System for Distribution Automation and realization [J] communication of power system, 2003, (12)： 45-47) on the basis of Communication System for Distribution Automation functional requirement is analyzed, it is proposed that power distribution automation hierarchical structure, communication The requirement of mode etc. and implementation method.(information security research [C] China motor work in power distribution automation design such as Wang Xuelun Cheng Xuehui annual meetings, Sichuan Chengdu, 2013) for power distribution automation network information security technology, it is proposed that a set of intelligent distribution network Design of Information Security scheme.Lin Yongfeng etc. (distribution power automation terminal Information Security Risk assessment method research [J] automation with Instrument, 2015, (12)：System layer 11-14) from power distribution automation, communication layers and the configuration possible risk problem of layer analysis, carry A set of information security evaluating method and evaluation and test flow are gone out, the information security issue to solving distribution power automation terminal has guidance Property meaning, while for Security Testing and the Hole Detection of electrical power distribution automatization system provide platform.

To sum up, about the research of power distribution automation information link, to focus primarily upon Information Security Evaluation automatic with distribution at present Change system architecture design etc., but lack the overall angle consideration from power distribution automation CPS, the influence of meter and information link is carried out Take into account the research in terms of the Optimal Configuration Method of layouting of the specific deployed position of the distribution terminal of distribution Power System Reliability and economy.

The content of the invention

In order to solve the above problems, it is an object of the invention to provide a kind of wrong influence of consideration information link data transfer Distribution terminal layout optimization method.

In order to achieve the above object, the distribution terminal cloth of the consideration information wrong influence of link data transfer that the present invention is provided Point optimization method includes the following steps for carrying out in order：

1) content planned according to distribution terminal configuration quantity in electrical power distribution automatization system first, primary Calculation goes out to be analyzed Feeder line needed for configuration distribution terminal quantity, then set perform this consideration information wrong influence of link data transfer distribution Terminal is layouted module needed for optimization method, including：Feeder line species division module, distribution terminal deployment configuration division module, failure Situation division module, data acquisition module, quantum chemical method module, the distribution terminal wrong event of planning module, data of layouting are divided Module, information link data acquisition module, information link quantify correcting module and " three is distant " function effect analysis module；

2) feeder line species division module is utilized, feeder line is divided into following two according to whether interconnection switch is installed on feeder line Class：1. the feeder line of interconnection switch is not installed；2. there is the feeder line of interconnection switch；

3) distribution terminal deployment configuration division module is utilized, the configuring condition of distribution terminal is divided into following three class：① All configure " three is distant " distribution terminal；2. " two is distant " distribution terminal is all configured；3. mixed configuration " three is distant " and " two is distant " distribution Terminal；

4) fault state division module is utilized, the treatment after failure is occurred to failure is divided into three phases, 1. failure is determined The position stage；2. artificial fault isolation stage；3. fault restoration stage；

5) data acquisition module is utilized, according to the step 2), 3) and 4) in result, in above-mentioned three classes distribution terminal Under configuring condition, system blackout time and power failure load in three troubleshooting stages of two class feeder lines quantify Modeling Calculation institute Data are needed to be acquired, required data include：Got in touch with block switch quantity and present position, feeder line on feeder line number of switches and It is equivalent load sum that present position, fault rate, each section length of feeder line are connected with sectional area, fault location time, artificial Fault Isolation time and fault correction time；

6) using quantifying computing module, according to the step 2), 3) and 4) in result and step 5) in collection data, To under above-mentioned three classes distribution terminal configuring condition, the system blackout time and power failure in three failure phases of two class feeder lines are negative Lotus carries out quantization Modeling Calculation, wherein, the quantization Modeling Calculation of system blackout time and power failure load includes：1. contact is not installed The system blackout time of the feeder line of switch and the quantization Modeling Calculation of power failure load；2. the system that there is the feeder line of interconnection switch is stopped Electric time and the quantization Modeling Calculation of power failure load；

7) the information wrong event of link data transfer is divided using data wrong event division module：1. event Remote signalling-the remote control of A --- distribution terminal is wrong but remote measurement is errorless；2. event B --- remote signalling-remote control is errorless but remote measurement is wrong；③ Event C --- remote signalling-remote control and remote measurement are wrong；

8) information link data acquisition module is utilized, according to the step 2) to step 7) in result, to step 7) in Data needed for the quantization Modeling Calculation of divided event are acquired, and required data include：Remote signaling function is checked and right The time that information is modified；Remote information is carried out to check amendment and the time needed for carrying out isolation processing to failure again； Function and information to remote control and remote signalling carry out checking the time corrected needed for carrying out isolation processing to failure again；To remote measurement work( Can be checked and information is corrected, the artificial time for finding the correct abort situation of positioning；Telemetry intelligence (TELINT) is entangled Just, the time of failure mode is rejudged；The probability that each event occurs；

9) quantify correcting module using information link, according to the step 2) to the result and step 8 in 7)) in collection Data, to the step 7) in all subevents carry out quantization Modeling Calculation, and calculating process is modified；

10) " three is distant " function effect analysis module is utilized, according to above-mentioned steps 2) to step 9) result it is automatic to distribution Change specifically layout position of the terminal installation on feeder line and optimize configuration, on the basis of given distribution terminal configuration quantity, Object function is set up using the power failure load of above-mentioned each configuring condition, with reliability conditions as constraint of powering, and then feeder line is obtained Distribution terminal is layouted program results；And effectively instruct analysis " three is distant " function to the system blackout time, mixed economy cost and Influence to distribution terminal deployed position.

The distribution terminal of the consideration information wrong influence of link data transfer that the present invention is provided layouts optimization method in failure Positioning, artificial Fault Isolation and fault restoration stage introduce the information wrong influence of link data transfer, it is proposed that accordingly may be used By property index correction model and correction strategy, position of specifically layouting that can be to distribution terminal on feeder line optimizes configuration, And analysis " three is distant " function can be effectively instructed to system blackout time, mixed economy cost and to distribution terminal deployed position Influence, contribute to preferably improve power network power supply reliability and quality of voltage, lifted distribution terminal the efficiency of management, to carrying China's power distribution automation level high, the intelligent grid construction of propulsion China have guiding significance.

Brief description of the drawings

Fig. 1 layouts optimization method stream for the distribution terminal of the consideration information wrong influence of link data transfer that the present invention is provided Cheng Tu.

Fig. 2-1 is the feeder line figure for not installing interconnection switch.

Fig. 2-2 is the feeder line figure that there is interconnection switch.

The feeder line schematic diagram that Fig. 3 is used by the embodiment of the present invention.

Fig. 4-1 is three distant accuracy to system blackout time and the influence schematic diagram of mixed economy cost.

Fig. 4-2 is that remote signalling accuracy is layouted the influence schematic diagram of position optimization result to distribution terminal.

Fig. 4-3 is that remote measurement accuracy is layouted the influence schematic diagram of position optimization result to distribution terminal.

Fig. 4-4 is that remote control accuracy is layouted the influence schematic diagram of position optimization result to distribution terminal.

Specific embodiment

Below in conjunction with the accompanying drawings and embodiment on the present invention provide the consideration information wrong influence of link data transfer distribution Terminal optimization method of layouting is described in detail.

The optimization as shown in figure 1, distribution terminal of the consideration information wrong influence of link data transfer of present invention offer is layouted Method includes the following steps for carrying out in order：

1) first according in electrical power distribution automatization system distribution terminal configuration quantity planning (the Automation of Electric Systems such as Liu Jian, 2013,37 (12)：Content 44-50), primary Calculation goes out the distribution terminal quantity of configuration needed for feeder line to be analyzed, Ran Houshe Put and perform the distribution terminal of this consideration information wrong influence of link data transfer and layout module needed for optimization method, including：Feeder line Species division module, distribution terminal deployment configuration division module, fault state division module, data acquisition module, quantum chemical method Module, distribution terminal are layouted the wrong event division module of planning module, data, information link data acquisition module, information link Quantify correcting module and " three is distant " function effect analysis module；

2) feeder line species division module is utilized, feeder line is divided into following two according to whether interconnection switch is installed on feeder line Class：1. the feeder line of interconnection switch is not installed, as shown in Fig. 2-1；2. there is the feeder line of interconnection switch, as shown in Fig. 2-2；Fig. 2-1 Contain m-1 line sectionalizing switch with feeder line shown in Fig. 2-2 and (disregard line outlet switch z₁), it is divided into m sections, contain simultaneously N interconnection switch (general m >=n)；I is the numbering of sectional area；y_nRepresent interconnection switch；

3) distribution terminal deployment configuration division module is utilized, the configuring condition of distribution terminal is divided into following three class：① All configure " three is distant " distribution terminal；2. " two is distant " distribution terminal is all configured；3. mixed configuration " three is distant " and " two is distant " distribution Terminal；

4) fault state division module is utilized, the treatment after failure is occurred to failure is divided into three phases, 1. failure is determined The position stage；2. artificial fault isolation stage；3. fault restoration stage；

5) data acquisition module is utilized, according to the step 2), 3) and 4) in result, in above-mentioned three classes distribution terminal Under configuring condition, system blackout time and power failure load in three troubleshooting stages of two class feeder lines quantify Modeling Calculation institute Data are needed to be acquired, required data include：Got in touch with block switch quantity and present position, feeder line on feeder line number of switches and It is equivalent load sum that present position, fault rate, each section length of feeder line are connected with sectional area, fault location time, artificial Fault Isolation time and fault correction time；

6) using quantifying computing module, according to the step 2), 3) and 4) in result and step 5) in collection data, To under above-mentioned three classes distribution terminal configuring condition, the system blackout time and power failure in three failure phases of two class feeder lines are negative Lotus carries out quantization Modeling Calculation, wherein, the quantization Modeling Calculation of system blackout time and power failure load includes：1. contact is not installed The system blackout time of the feeder line of switch and the quantization Modeling Calculation of power failure load；2. the system that there is the feeder line of interconnection switch is stopped Electric time and the quantization Modeling Calculation of power failure load；

1. the system blackout time of the feeder line of interconnection switch and the quantization Modeling Calculation of power failure load are not installed according to distribution The configuring condition of terminal is divided into following three class：A. all configuration " three is distant " distribution terminal when the system blackout time and power failure load Quantization Modeling Calculation；The quantization modeling of system blackout time and power failure load when b. all configuring " two is distant " distribution terminal is counted Calculate；C. the quantization Modeling Calculation of mixed configuration " three is distant " and system blackout time during " two is distant " distribution terminal and power failure load；

A. system blackout time during whole configuration " three is distant " distribution terminals and the quantization Modeling Calculation step of power failure load It is as follows：(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial fault isolation stage System blackout time and the quantization Modeling Calculation of power failure load；(3) fault restoration stage system power off time and power failure load Quantify Modeling Calculation；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load：

The fault location stage corresponding system blackout time of i-th section of region wire failure is：

In formula, T_1iRepresent the fault location stage corresponding system blackout time of i-th section of region wire failure, t_1iIt is i-th The fault location time in section region, U_iRepresent i-th section of total number of users of block supply；l_iThe substitutional connection for representing i-th section of region is long Degree；f_iI-th section of equivalent of the apparatus fault rate in region is represented, unit is secondary/kma；M represents the number of fragments of feeder line；

Fault location stage corresponding system blackout time T₁For：

System blackout load is accordingly：

In formula, E_1iRepresent the corresponding system blackout load of fault location stage of i-th section of region wire failure, P_iRepresent The i sections of equivalent load sum of whole loads of block supply；

The corresponding system blackout load E of fault location stage₁For：

(2) the quantization Modeling Calculation of artificial fault isolation stage system blackout time and power failure load：

The artificial fault isolation stage corresponding system blackout time of i-th section of region wire failure is：

In formula, T_2iRepresent the artificial fault isolation stage corresponding system blackout time of i-th section of region wire failure, t_2i It is the i-th artificial Fault Isolation time in region；

Artificial fault isolation stage corresponding system blackout time T₂For：

System blackout load is accordingly：

In formula, E_2iRepresent the corresponding system blackout load of artificial fault isolation stage of i-th section of region wire failure；

The corresponding system blackout load E of artificial fault isolation stage₂For：

(3) the quantization Modeling Calculation of fault restoration stage system power off time and power failure load：

The corresponding system blackout time in fault restoration stage of i-th section of region wire failure is：

In formula, T_3iRepresent the corresponding system blackout time in fault restoration stage of i-th section of region wire failure, t_3iIt is i-th The fault correction time in section region；z_k=0 represents relevant position configuration distribution terminal, z_k=1 represents relevant position does not configure distribution Terminal；

Corresponding system blackout time T in fault restoration stage₃For：

System blackout load is accordingly：

In formula, E_3iRepresent the fault restoration stage corresponding system blackout load of i-th section of region wire failure；

Fault restoration stage corresponding system blackout load E₃For：

(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load：

T=T₁+T₂+T₃ (13)

In formula, T is corresponding system blackout time in whole troubleshooting stage, unit h；T₁、T₂And T₃Correspond to respectively above-mentioned The system blackout time of fault location stage, artificial fault isolation stage and fault restoration stage, unit is h；

E=E₁+E₂+E₃ (14)

In formula, E is corresponding system blackout load of whole troubleshooting stage, unit kWh；E₁、E₂And E₃On corresponding to respectively The system blackout load of fault location stage, artificial fault isolation stage and fault restoration stage is stated, unit is kWh；

B. system blackout time during whole configuration " two is distant " distribution terminals and the quantization Modeling Calculation step of power failure load It is as follows：(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial fault isolation stage System blackout time and the quantization Modeling Calculation of power failure load；(3) fault restoration stage system power off time and power failure load Quantify Modeling Calculation；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load and formula (1)-(4) Cause, but due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(2) the quantization Modeling Calculation formula of artificial fault isolation stage system blackout time and power failure load and formula (5)- (8) it is consistent, but due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(3) the quantization Modeling Calculation formula of fault restoration stage system power off time and power failure load and formula (9)-(12) Unanimously；

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) Unanimously.

C. the quantization modeling of mixed configuration " three is distant " and system blackout time during " two is distant " distribution terminal and power failure load Calculation procedure is as follows：(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial failure Isolation stage system blackout time and the quantization Modeling Calculation of power failure load；(3) fault restoration stage system power off time and stop The quantization Modeling Calculation of electric load；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load and formula (1)-(4) Cause, but due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(2) the quantization Modeling Calculation of artificial fault isolation stage service system power off time and power failure load：

First, it is assumed that the line sectionalizing switch of configuration " three is distant " distribution terminal is common M-1, then based on all " three is distant " distribution Terminated line block switch divides " three is distant " common M in region for obtaining.During for the system blackout for analyzing artificial fault isolation stage Between and power failure load, use Ω_i’The load aggregation in the i-th ' individual " three is distant " distribution terminal region is represented, | Ω_i’| in the region Total number of users；With event group W=(w₁,w₂,…,w_2i’-1,w_2i’,…,w_2M-1,w_2M) " three is distant " residing for representing fault position match somebody with somebody The configuring condition of " two is distant " Distributing Terminal Assembly in region determined by electric terminals and region, altogether including 2M event, specific table It is shown as：

w_2i’-1：Failure occurs to be configured with " two in the i-th ' individual " three is distant " region determined by distribution terminal, and the region It is distant " distribution terminal；

w_2i’：" two is distant " is not configured with the i-th ' individual " three is distant " region, but region determined by distribution terminal of failure generation to match somebody with somebody Electric terminals；

Then the artificial fault isolation stage of the i-th section of region wire failure corresponding system blackout time be：

System blackout load is accordingly：

(3) the quantization Modeling Calculation formula of fault restoration stage system power off time and power failure load and formula (9)-(12) Unanimously.

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) Unanimously.

2. the system blackout time and power failure load modeling that there is the feeder line of interconnection switch calculate matching somebody with somebody according to distribution terminal The situation of putting is divided into following three class：The quantization of system blackout time and power failure load when a. all configuring " three is distant " distribution terminal is built Mould is calculated；B. system blackout time during whole configuration " two is distant " distribution terminals and the quantization Modeling Calculation of power failure load；C. mix Close the quantization Modeling Calculation of the system blackout time and power failure load when configuring " three is distant " and " two is distant " distribution terminal；

A. system blackout time during whole configuration " three is distant " distribution terminals and the quantization Modeling Calculation step of power failure load It is as follows：(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial fault isolation stage System blackout time and the quantization Modeling Calculation of power failure load；(3) fault restoration stage system power off time and power failure load Quantify Modeling Calculation；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load and formula (1)-(4) Cause, but due to each section of artificial failure load isolation time t in region_2iIt is 0, therefore result of calculation is 0；

(2) the quantization Modeling Calculation formula of artificial fault isolation stage system blackout time and power failure load and formula (5)- (8) it is consistent, but due to each section of artificial failure load isolation time t in region_2iIt is 0, therefore result of calculation is 0.

(3) the quantization Modeling Calculation of fault restoration stage system power off time and power failure load：

The corresponding system blackout time in fault restoration stage of i-th section of region wire failure is：

In formula, T_3iRepresent the corresponding system blackout time in fault restoration stage of i-th section of region wire failure, t_3iIt is i-th The fault correction time in section region；

The fault restoration stage, corresponding system blackout Time Calculation formula was consistent with formula (10).

System blackout load is accordingly：

In formula, E_3iRepresent the fault restoration stage corresponding system blackout load of i-th section of region wire failure；

The fault restoration stage, corresponding system blackout carry calculation formula was consistent with formula (12).

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) Unanimously.

B. system blackout time during whole configuration " two is distant " distribution terminals and the quantization Modeling Calculation step of power failure load It is as follows：(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial fault isolation stage System blackout time and the quantization Modeling Calculation of power failure load；(3) fault restoration stage system power off time and power failure load Quantify Modeling Calculation；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load and formula (1)-(4) Cause, but due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(2) the quantization Modeling Calculation formula of artificial fault isolation stage system blackout time and power failure load and formula (5)- (8) it is consistent, but due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(3) the quantization Modeling Calculation formula of fault restoration stage system power off time and power failure load and formula (10), (12), (19) it is consistent with (20)；

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) Unanimously；

C. the quantization modeling of mixed configuration " three is distant " and system blackout time during " two is distant " distribution terminal and power failure load Calculation procedure is as follows：(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial failure Isolation stage system blackout time and the quantization Modeling Calculation of power failure load；(3) fault restoration stage system power off time and stop The quantization Modeling Calculation of electric load；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load and formula (1)-(4) Cause, but due to each section of artificial failure load isolation time t in region_2iIt is 0, therefore result of calculation is 0；

(2) the quantization Modeling Calculation formula of artificial fault isolation stage system blackout time and power failure load and formula (15)- (18) it is consistent；

(3) the quantization Modeling Calculation formula of fault restoration stage system power off time and power failure load and formula (10), (12), (19) it is consistent with (20)；

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) Unanimously；

7) the information wrong event of link data transfer is divided using data wrong event division module：1. event Remote signalling-the remote control of A --- distribution terminal is wrong but remote measurement is errorless；2. event B --- remote signalling-remote control is errorless but remote measurement is wrong；③ Event C --- remote signalling-remote control and remote measurement are wrong.

1. event A includes following three classes subevent：A. event A1：Remote information is errorless, but remote signalling information is wrong.B. event A2：Remote information is wrong, but remote signalling information is errorless；C. event A3：Remote information is wrong, and remote signalling information is wrong.

2. event B includes following three classes subevent：A. event B1：The determination of telemetry intelligence (TELINT) erroneous effects abort situation.b. Event B2：The determination of telemetry intelligence (TELINT) erroneous effects failure mode.C. event B3：Telemetry intelligence (TELINT) mistake simultaneously influence abort situation and The determination of species.

3. event C includes the nine class subevents determined by event A and event B：A. event C1：Remote information is errorless, but Remote signalling information is wrong, and telemetry intelligence (TELINT) erroneous effects abort situation determination；B. event C2：Remote information is errorless, but remote signalling is believed Breath is wrong, and information errors influence the determination of failure mode；C. event C3：Remote information is errorless, but remote signalling information is wrong, and distant Measurement information mistake influences the determination of abort situation and species simultaneously；D. event C4：E. remote information is wrong, but remote signalling information without By mistake, and telemetry intelligence (TELINT) erroneous effects abort situation determination；Event C5：Remote information is wrong, but remote signalling information is errorless, and information The determination of erroneous effects failure mode；F. event C6：Remote information is wrong, but remote signalling information is errorless, and telemetry intelligence (TELINT) mistake is same When influence abort situation and species determination；G. event C7：Remote control and remote signalling information are wrong, and the event of telemetry intelligence (TELINT) erroneous effects Hinder the determination of position；H. event C8：Remote control and remote signalling information are wrong, and telemetry intelligence (TELINT) erroneous effects failure mode determination； I. event C9：Remote control and remote signalling information are wrong, and telemetry intelligence (TELINT) mistake influences the determination of abort situation and species simultaneously.

8) information link data acquisition module is utilized, according to the step 2) to step 7) in result, to step 7) in Data needed for the quantization Modeling Calculation of divided event are acquired, and required data include：Remote signaling function is checked and right The time that information is modified；Remote information is carried out to check amendment and the time needed for carrying out isolation processing to failure again； Function and information to remote control and remote signalling carry out checking the time corrected needed for carrying out isolation processing to failure again；To remote measurement work( Can be checked and information is corrected, the artificial time for finding the correct abort situation of positioning；Telemetry intelligence (TELINT) is entangled Just, the time of failure mode is rejudged；The probability that each event occurs；

9) quantify correcting module using information link, according to the step 2) to the result and step 8 in 7)) in collection Data, to the step 7) in all subevents carry out quantization Modeling Calculation, and calculating process is modified；

The quantization correction model of all subevents is comprised the following steps that：

1. (it is p to set its probability of happening to event A₁) quantify quantization correction model of the correction model including three class events：

A. (probability for setting its generation is p to event A1₁₁)：When this occurs, relative to above-mentioned steps 6) in failure repair The quantization formula in multiple stage, fault correction time therein need to be modified to：

In formula,It is the time for being checked remote signaling function and being modified to information.

B. (probability for setting its generation is p to event A2₁₂)：When this occurs, relative to above-mentioned steps 6) in it is artificial therefore Hinder the quantitative model of isolation stage, the system blackout load of artificial fault isolation stage therein is expressed as：

In formula, t₂"=t₂ ¹²For remote information check amendment and needed for carrying out isolation processing to failure again when Between.

C. (probability for setting its generation is p to event A3₁₃)：When this occurs, relative to above-mentioned steps 6) in failure repair The quantization formula in multiple stage, system blackout carry calculation formula and the formula (22) of artificial fault isolation stage therein Cause, the t in this up-to-date style₂" need to use t₂ ¹³Replace, t₂ ¹³Represent carries out checking amendment simultaneously to the function and information of remote control and remote signalling Again the time needed for carrying out isolation processing to failure.

2. (it is p to set its probability of happening to event B₂) quantify quantization correction model of the correction model including three class events：

B. (probability for setting its generation is p to event B1₂₁)：When this occurs, relative to above-mentioned steps 6) in failure determine The quantization formula in position stage, fault location time therein need to be modified to：

Wherein, t₁ ²¹It is telemetry function to be checked and information is corrected, it is artificial to find the correct fault bit of positioning The time put.

B. (probability for setting its generation is p to event B2₂₂)：When this occurs, relative to above-mentioned steps 6) in failure determine The quantization formula in position stage, fault location time therein need to be modified to：

Wherein, t₁ ²²It is that telemetry intelligence (TELINT) is corrected, rejudges the time of failure mode.

C. (probability for setting its generation is p to event B3₂₃)：When this occurs, relative to above-mentioned steps 6) in failure determine The quantization formula in position stage, fault location time therein need to be modified to：

3. event C quantifies correction model includes the quantization correction model of nine class events：

Due to nine class subevents in event C be to be combined with three class subevents in event B by three class subevents in event A and Into, thus this nine classes event occur time quantization correction model be：

A. (probability for setting its generation is p to event C1₃₁)：

t_C11=t_3i+t₃ ¹¹ (26)

t_C12=t_1i+t₁ ²¹ (27)

t_C1=t_C11+t_C12 (28)

B. (probability for setting its generation is p to event C2₃₂)：

t_C21=t_3i+t₃ ¹¹ (29)

t_C22=t_1i+t₁ ²² (30)

t_C2=t_C21+t_C22 (31)

C. (probability for setting its generation is p to event C3₃₃)：

t_C31=t_3i+t₃ ¹¹ (32)

t_C32=t_1i+t₁ ²¹+t₁ ²² (33)

t_C3=t_C31+t_C32 (34)

D. (probability for setting its generation is p to event C4₃₄)：

t_C41=t_2i+t₂ ¹² (35)

t_C42=t_1i+t₁ ²¹ (36)

t_C4=t_C41+t_C42 (37)

E. (probability for setting its generation is p to event C5₃₅)：

t_C51=t_2i+t₂ ¹² (38)

t_C52=t_1i+t₁ ²² (39)

t_C5=t_C51+t_C52 (40)

F. (probability for setting its generation is p to event C6₃₆)：

t_C61=t_2i+t₂ ¹² (41)

t_C62=t₁+t_1i ²¹+t₁ ²² (42)

t_C6=t_C61+t_C62 (43)

G. (probability for setting its generation is p to event C7₃₇)：

t_C71=t_2i+t₂ ¹³ (44)

t_C72=t_1i+t₁ ²¹ (45)

t_C7=t_C71+t_C72 (46)

H. (probability for setting its generation is p to event C8₃₈)：

t_C81=t_2i+t₂ ¹³ (47)

t_C82=t_1i+t₁ ²² (48)

t_C8=t_C81+t_C82 (49)

I. (probability for setting its generation is p to event C9₃₉)：

t_C91=t_2i+t₂ ¹³ (50)

t_C92=t_1i+t₁ ²¹+t₁ ²² (51)

t_C9=t_C91+t_C92 (52)

Assuming that the accuracy of remote information is p_c；The accuracy of remote signalling information is p_s；The accuracy of telemetry intelligence (TELINT) is p_m, its In, p_mCan be expressed as again：

(1-p_m)=p_m1+p_m2+p_m3 (53)

Wherein, p_m1Represent the wrong influence abort situation of remote measurement but the probability for not influenceing failure mode definite event to occur； p_m2Represent the wrong influence failure mode of remote measurement but the not probability of impact position definite event generation；p_m3Represent the wrong shadow of remote measurement Ring the probability that failure mode and position definite event occur.

Therefore, the probability that each subevent occurs can be expressed as：

P=1-p_m·p_c·p_s (54)

Wherein, p is the probability that the wrong event of data occurs.

p₁=(1-p_c·p_s)p_m (55)

p₂=(1-p_m)·p_c·p_s (56)

p₃=(1-p_c·p_s)·(1-p_m) (57)

p₁₁=p_c·(1-p_s)·p_m (58)

p₁₂=(1-p_c)·p_s·p_m (59)

p₁₃=(1-p_c)(1-p_s)·p_m (60)

p₂₁=p_c·p_s·p_m1 (61)

p₂₂=p_c·p_s·p_m2 (62)

p₂₃=p_c·p_s·p_m3 (63)

p₃₁=p_c·(1-p_s)·p_m1 (64)

p₃₂=p_c·(1-p_s)·p_m2 (65)

p₃₃=p_c·(1-p_s)·p_m3 (66)

p₃₄=(1-p_c)·p_s·p_m1 (67)

p₃₅=(1-p_c)·p_s·p_m2 (68)

p₃₆=(1-p_c)·p_s·p_m3 (69)

p₃₇=(1-p_c)(1-p_s)·p_m1 (70)

p₃₈=(1-p_c)(1-p_s)·p_m2 (71)

p₃₉=(1-p_c)(1-p_s)·p_m3 (72)

Each phases-time is modified with expectation value analysis method, amendment in the case of " three is distant " terminal is configured with after amendment Time it is as follows：

1. the time complexity curve of fault location stage：

Obtained after arrangement：

2. the time complexity curve of artificial fault isolation stage：

3. the time complexity curve in fault restoration stage：

Bring the revised time into above-mentioned steps 6) in Chinese style (1) to formula (20).

10) " three is distant " function effect analysis module is utilized, according to above-mentioned steps 2) to step 9) result it is automatic to distribution Change specifically layout position of the terminal installation on feeder line and optimize configuration, on the basis of given distribution terminal configuration quantity, Object function is set up using the power failure load of above-mentioned each configuring condition, with reliability conditions as constraint of powering, and then feeder line is obtained Distribution terminal is layouted program results；And effectively instruct analysis " three is distant " function to the system blackout time, mixed economy cost and Influence to distribution terminal deployed position.

Comprise the following steps that：

A. according to step 7) in formula (74)~(76) replacement step 6 for obtaining) in respective stage power off time, according to Step 6) the power failure load that obtains sets up object function, and genetic algorithm for solving object function is used, carry out genetic manipulation；Target Function is as follows：

In formula, C_EIt is unit electricity loss of outage；N₂And N₃It is the configuration quantity of " two is distant " and " three is distant " distribution terminal；C₂ And C₃It is the initial outlay unit price of " two is distant " and " three is distant " distribution terminal；i₂And i₃For " two is distant " and " three is distant " distribution terminal is invested Discount rate；a₂And a₃It is the Economic Life of " two is distant " and " three is distant " distribution terminal；

B. the fitness value in genetic algorithm judges whether to reach stopping criterion for iteration, and method is to build fitness letter Number, reliability constraint is added in the object function shown in formula (77) in the form of penalty function, is fitted as hereditary individual Response evaluation function；

Wherein, reliability constraint uses the power supply reliability threshold value constraint condition of setting, i.e.,

β₁＞ β_set (78)

Wherein, β_setIt is the power supply reliability requirement of feeder line；β₁It is the power supply reliability under distribution terminal sensor distributing, Shown in expression such as formula (23)：

Wherein, T considers that the influence of information system is calculated using formula (13) with formula (74)~(76)；

C. when reliability constraint is unsatisfactory in continuous m generations, then return to step 1), readjust required on feeder line matching somebody with somebody The distribution terminal quantity put；Otherwise terminate, the optimal program results of layouting of output feeder distribution terminal.

Now have to the consideration information link data transfer that the present invention is provided by taking the feeder line of the IEEE33 nodes shown in Fig. 3 as an example The distribution terminal optimization method of layouting of influence is illustrated by mistake.And " three is distant " and " two the is distant " distribution terminal to be of universal significance It is combined as a example by configuration, the feeder line gate out switch of Fig. 3 median generatrixs-node 0, node 1-2,2-3,4-5,8-9 and 14-15 circuits Block switch (need to carry out distribution power automation terminal layout optimization choosing for position) and interconnection switch the system is divided into 6 segmentations Region, respectively such as z in figure₁,z₂,..,z₆It is shown.Each sectional area internal loading P₁,P₂…,P₅Be followed successively by 100kW, 400kW, 400kW、500kW、2500kW、400kW；Sectional area number of users is 10, substitutional connection length l₁,l₂,..,l₆It is followed successively by 1.275km、0.26km、0.108km、0.17km、0.09km、0.22km；Feeder fault rate is 0.23 time/km；Correspondence event Barrier positioning stage, artificial fault isolation stage and the fault handling time t in fault restoration stage₁,t₂,t₃Be followed successively by 1h, 0.5h, 4h；Consider that " three is distant " distribution terminal and the procurement price of " two is distant " distribution terminal are respectively 50,000 yuan and 10,000 yuan；Distribution terminal is thrown Money return rate takes 0.1, in 20 years life-spans, takes unit quantity of electricity loss of outage C_E=5 yuan.If the system power supply block supply reliability will Seek β_setIt is 99.9%.The content primary Calculation planned according to distribution terminal configuration quantity in above-mentioned electrical power distribution automatization system first The distribution terminal quantity for going out required configuration on the feeder line is 3..

If system power supply block supply reliability requirement is 99.9%.Simultaneously for ease of comparative analysis, it is considered to following three Individual scene：(1) scene one：It is 100% that telemetry and telecommand accuracy is constant, and remote signalling accuracy changes；(2) scene two：Remote signalling and It is 100% that remote control accuracy is constant, and remote measurement accuracy changes；(3) scene three：Remote signalling and remote measurement accuracy it is constant be 100%, it is distant Control accuracy changes.And set the wrong event A of data message₁,A₂,A₃,B₁,B₂Corresponding time complexity curve is followed successively by t₃ ¹¹=0.2h, t₂ ¹²=0.4h, t₂ ¹³=0.6h, t₁ ²¹=0.15h, t₁ ²²=0.15h, it is assumed that the wrong corresponding three events hair of telemetry intelligence (TELINT) Raw Probability p_m1,p_m2,p_m3It is identical, i.e. p_m1=p_m2=p_m3=(1-p_m)/3。

Using the inventive method, it is considered to after the wrong influence of information link data transfer is modified to quantum chemical method model, Result is as shown in Fig. 4-1-Fig. 4-4 and table 1-1-table 1-3：

(1) to the influence of system blackout time and mixed economy cost

It is in z when distribution terminal configuration is constant₂And z₆Place's configuration " two is distant " distribution terminal, z₅Place's configuration " three is distant " distribution end During end, Fig. 4-1 gives the influence situation of one, two, three pairs of system blackout times of scene and mixed economy cost.Can from Fig. 4-1 See, the accuracy of " three is distant " function affects the mixed economy cost and power off time of system, and mixed economy cost simultaneously Reduced with the raising of " three is distant " function accuracy with power off time.Specific amplification ratio situation such as table 1-1-table 1-3 institutes Show.From the longitudinal direction contrast of table 1-1-table 1-3, with the reduction of remote signaling function accuracy, the financial cost of system and power failure The amplification ratio of time is basically unchanged；With the reduction of remote measurement accuracy, the financial cost of system and the amplification ratio of power off time Example is slightly reduced；As the reduction of remote control accuracy, financial cost and power off time the reduction amplitude of system are larger, illustrate distant When control accuracy is higher, system can obtain larger economy and reliability benefits.From the across comparison of table 1-1-table 1-3 See, the accuracy of remote control, remote measurement and remote signaling function is apparent successively to system reliability and the presentation of financial cost influence degree Decline trend, illustrates in the case of identical initial outlay, it is ensured that the accuracy of distant control function can obtain larger economical and can By property income.

Table 1-1 remote signalling accuracy changes the influence to mixed economy cost and system blackout time

Table 1-2 remote measurements accuracy changes the influence to mixed economy cost and system blackout time

Table 1-3 remote controls accuracy changes the influence to mixed economy cost and system blackout time

(2) to the influence of distribution power automation terminal deployed position

Because the wrong influence to system reliability of information is relatively small, therefore investigating the accuracy pair of " three is distant " function Distribution terminal is layouted when optimizing influence, the threshold value that the present invention is set as power supply reliability requirement by 99.992%, less than the threshold value The allocation plan that then needs to layout distribution terminal is modified.Fig. 4-2-Fig. 4-4 sets forth " three is distant " function accuracy Change the influence of optimum results of being layouted to distribution terminal.

As shown in the Fig. 4-2, as remote signalling accuracy is raised, the mixed economy cost reduction of distribution terminal, power supply reliability Raise；99.992% requirement limitation is satisfied by due to power supply reliability, therefore is layouted and is distributed result rationally with remote signalling and remote measurement The change of accuracy does not change, is z₂And z₆Place's configuration " two is distant " distribution terminal, z₅Place's configuration " three is distant " distribution end End.From Fig. 4-3 and Fig. 4-4, with the lifting of telemetry and telecommand accuracy, the reduction of distribution terminal mixed economy cost is supplied Electric reliability is raised；When remote control accuracy is less than 70%, power supply reliability is less than 99.992%；Remote measurement success rate is less than 40% When, power supply reliability is less than 99.992%；After taking correction measure, power supply reliability has clear improvement, but required input warp Ji cost is improved；Program results of layouting also changes with remote control and the change of remote measurement accuracy, as 30%≤p_c<When 35%, match somebody with somebody Scheme is put for z₂And z₆Place's configuration " two is distant " distribution terminal, z₄Place's configuration " three is distant " distribution terminal；As 35%≤p_c<When 70%, match somebody with somebody Scheme is put for z₅And z₆Place's configuration " two is distant " distribution terminal, z₂Place's configuration " three is distant " distribution terminal；Work as p_cWhen >=70%, distribution end End allocation plan is former allocation plan；As 30%≤p_m<When 40%, allocation plan is z₅And z₆Place's configuration " two is distant " distribution terminal, z₂Place's configuration " three is distant " Distributing Terminal Assembly, works as p_mWhen >=40%, distribution terminal allocation plan is former allocation plan.

The various embodiments described above are merely to illustrate the present invention, and wherein each step of method etc. all can be what is be varied from, Every equivalents carried out on the basis of technical solution of the present invention and improvement, should not exclude in protection scope of the present invention Outside.

Claims (5)

1. a kind of distribution terminal of the wrong influence of consideration information link data transfer is layouted optimization method, it is characterised in that：It is described Method include the following steps for carrying out in order：

1) content planned according to distribution terminal configuration quantity in electrical power distribution automatization system first, primary Calculation goes out feedback to be analyzed The distribution terminal quantity of configuration needed for line, then sets the distribution terminal for performing this consideration information wrong influence of link data transfer Layout module needed for optimization method, including：Feeder line species division module, distribution terminal deployment configuration division module, fault state Division module, data acquisition module, quantum chemical method module, distribution terminal layout the wrong event division module of planning module, data, Information link data acquisition module, information link quantify correcting module and " three is distant " function effect analysis module；

2) feeder line species division module is utilized, feeder line is divided into two categories below according to whether interconnection switch is installed on feeder line：① The feeder line of interconnection switch is not installed；2. there is the feeder line of interconnection switch；

3) distribution terminal deployment configuration division module is utilized, the configuring condition of distribution terminal is divided into following three class：1. all Configuration " three is distant " distribution terminal；2. " two is distant " distribution terminal is all configured；3. mixed configuration " three is distant " and " two is distant " distribution terminal；

4) fault state division module is utilized, the treatment after failure is occurred to failure is divided into three phases, 1. fault location rank Section；2. artificial fault isolation stage；3. fault restoration stage；

5) data acquisition module is utilized, according to the step 2), 3) and 4) in result, in the configuration of above-mentioned three classes distribution terminal In the case of, system blackout time and power failure load in three troubleshooting stages of two class feeder lines quantify number needed for Modeling Calculation According to being acquired, required data include：Number of switches and residing is got in touch with feeder line on block switch quantity and present position, feeder line Equivalent load sum, fault location time, artificial failure that position, fault rate, each section length of feeder line are connected with sectional area Isolation time and fault correction time；

6) using quantifying computing module, according to the step 2), 3) and 4) in result and step 5) in collection data, to Under above-mentioned three classes distribution terminal configuring condition, system blackout time and power failure load in three failure phases of two class feeder lines enter Row quantifies Modeling Calculation, wherein, the quantization Modeling Calculation of system blackout time and power failure load includes：1. interconnection switch is not installed Feeder line the system blackout time and the quantization Modeling Calculation of power failure load；During the system blackout of the feeder line that 2. there is interconnection switch Between and power failure load quantization Modeling Calculation；

7) the information wrong event of link data transfer is divided using data wrong event division module：1. event A --- Remote signalling-the remote control of distribution terminal is wrong but remote measurement is errorless；2. event B --- remote signalling-remote control is errorless but remote measurement is wrong；3. event C --- remote signalling-remote control and remote measurement are wrong；

8) information link data acquisition module is utilized, according to the step 2) to step 7) in result, to step 7) in draw Data needed for the quantization Modeling Calculation of point event are acquired, and required data include：Remote signaling function is checked and to information The time being modified；Remote information is carried out to check amendment and the time needed for carrying out isolation processing to failure again；To distant The function and information of control and remote signalling carry out checking the time corrected needed for carrying out isolation processing to failure again；Telemetry function is entered Row checks and information is corrected, artificial to find the time for positioning correct abort situation；Telemetry intelligence (TELINT) is corrected, weight The time of new failure judgement species；The probability that each event occurs；

9) quantify correcting module using information link, according to the step 2) to the result and step 8 in 7)) in collection number According to the step 7) in all subevents carry out quantization Modeling Calculation, and calculating process is modified；

10) " three is distant " function effect analysis module is utilized, according to above-mentioned steps 2) to step 9) result to power distribution automation end Specifically layout position of the end device on feeder line optimizes configuration, on the basis of given distribution terminal configuration quantity, utilizes The power failure load of above-mentioned each configuring condition sets up object function, with reliability conditions as constraint of powering, and then obtains feeder line distribution Terminal is layouted program results；And analysis " three is distant " function is effectively instructed to system blackout time, mixed economy cost and to matching somebody with somebody The influence of electric terminals deployed position.

2. the distribution terminal of the wrong influence of consideration information link data transfer according to claim 1 is layouted optimization method, It is characterized in that：In step 6) in, the system blackout time of the described feeder line for not installing interconnection switch and the amount of power failure load Change Modeling Calculation and be divided into following three class according to the configuring condition of distribution terminal：A. system during " three is distant " distribution terminal is all configured The quantization Modeling Calculation of power off time and power failure load；B. all configuration " two is distant " distribution terminal when the system blackout time and stop The quantization Modeling Calculation of electric load；C. mixed configuration " three is distant " and system blackout time during " two is distant " distribution terminal and have a power failure negative The quantization Modeling Calculation of lotus；

A. the system blackout time and the quantization Modeling Calculation step of power failure load during whole configuration " three is distant " distribution terminals is as follows： (1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial fault isolation stage system is stopped Electric time and the quantization Modeling Calculation of power failure load；(3) quantization of fault restoration stage system power off time and power failure load is built Mould is calculated；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load：

The fault location stage corresponding system blackout time of i-th section of region wire failure is：

$T_{1i}=t_{1i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;U_i+t_{1i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\underset{i\&NotEqual;i}{\overset{m}{\underset{i=1}{\mathrm{\&Sigma;}}}}{U}_i=0---\left(1\right)$

In formula, T_1iRepresent the fault location stage corresponding system blackout time of i-th section of region wire failure, t_1iIt is i-th section of area The fault location time in domain, U_iRepresent i-th section of total number of users of block supply；l_iRepresent i-th section of substitutional connection length in region； f_iI-th section of equivalent of the apparatus fault rate in region is represented, unit is secondary/kma；M represents the number of fragments of feeder line；

Fault location stage corresponding system blackout time T₁For：

$T_1=\underset{i=1}{\overset{m}{\&Sigma;}}{T}_{1i}---\left(2\right)$

System blackout load is accordingly：

$E_{1i}=t_{1i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;P_i+t_{1i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\underset{i\&NotEqual;i}{\overset{m}{\underset{i=1}{\mathrm{\&Sigma;}}}}{P}_i=0---\left(3\right)$

In formula, E_1iRepresent the corresponding system blackout load of fault location stage of i-th section of region wire failure, P_iRepresent i-th section The equivalent load sum of whole loads of block supply；

The corresponding system blackout load E of fault location stage₁For：

$E_1=\underset{i=1}{\overset{m}{\&Sigma;}}{E}_{1i}---\left(4\right)$

(2) the quantization Modeling Calculation of artificial fault isolation stage system blackout time and power failure load：

The artificial fault isolation stage corresponding system blackout time of i-th section of region wire failure is：

$T_{2i}=t_{2i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;U_i+t_{2i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\underset{i\&NotEqual;i}{\overset{m}{\underset{i=1}{\mathrm{\&Sigma;}}}}{U}_i=0---\left(5\right)$

In formula, T_2iRepresent the artificial fault isolation stage corresponding system blackout time of i-th section of region wire failure, t_2iIt is i-th The artificial Fault Isolation time in section region；

Artificial fault isolation stage corresponding system blackout time T₂For：

$T_2=\underset{i=1}{\overset{m}{\&Sigma;}}{T}_{2i}---\left(6\right)$

System blackout load is accordingly：

$E_{2i}=t_{2i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;P_i+t_{2i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\underset{i\&NotEqual;i}{\overset{m}{\underset{i=1}{\mathrm{\&Sigma;}}}}{P}_i=0---\left(7\right)$

In formula, E_2iRepresent the corresponding system blackout load of artificial fault isolation stage of i-th section of region wire failure；

The corresponding system blackout load E of artificial fault isolation stage₂For：

$E_2=\underset{i=1}{\overset{m}{\&Sigma;}}{E}_{2i}---\left(8\right)$

(3) the quantization Modeling Calculation of fault restoration stage system power off time and power failure load：

The corresponding system blackout time in fault restoration stage of i-th section of region wire failure is：

$T_{3i}=t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;U_i+t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\&lsqb;\underset{j=1}{\overset{j=i-1}{\mathrm{\&Sigma;}}}{U}_j\&CenterDot;\underset{k=j+1}{\overset{i}{\mathrm{\&Pi;}}}{z}_k\&rsqb;+t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\&lsqb;\underset{j=i+1}{\overset{j=m}{\mathrm{\&Sigma;}}}{U}_j\&rsqb;---\left(9\right)$

In formula, T_3iRepresent the corresponding system blackout time in fault restoration stage of i-th section of region wire failure, t_3iIt is i-th section of area The fault correction time in domain；z_k=0 represents relevant position configuration distribution terminal, z_k=1 represents relevant position does not configure distribution end End；

Corresponding system blackout time T in fault restoration stage₃For：

$T_3=\underset{i=1}{\overset{m}{\&Sigma;}}{T}_{3i}---\left(10\right)$

System blackout load is accordingly：

$E_{3i}=t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;P_i+t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\&lsqb;\underset{j=1}{\overset{j=i-1}{\&Sigma;}}{P}_j\&CenterDot;\underset{k=j+1}{\overset{i}{\&Pi;}}{z}_k\&rsqb;+t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\&lsqb;\underset{j=i+1}{\overset{j=m}{\&Sigma;}}{P}_j\&rsqb;---\left(11\right)$

In formula, E_3iRepresent the fault restoration stage corresponding system blackout load of i-th section of region wire failure；

Fault restoration stage corresponding system blackout load E₃For：

$E_3=\underset{i=1}{\overset{m}{\&Sigma;}}{E}_{3i}---\left(12\right)$

(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load：

T=T₁+T₂+T₃ (13)

In formula, T is corresponding system blackout time in whole troubleshooting stage, unit h；T₁、T₂And T₃Above-mentioned failure is corresponded to respectively The system blackout time of positioning stage, artificial fault isolation stage and fault restoration stage, unit is h；

E=E₁+E₂+E₃ (14)

In formula, E is corresponding system blackout load of whole troubleshooting stage, unit kWh；E₁、E₂And E₃Above-mentioned event is corresponded to respectively Barrier positioning stage, artificial fault isolation stage and the system blackout load in fault restoration stage, unit are kWh；

B. the system blackout time and the quantization Modeling Calculation step of power failure load during whole configuration " two is distant " distribution terminals is as follows： (1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial fault isolation stage system is stopped Electric time and the quantization Modeling Calculation of power failure load；(3) quantization of fault restoration stage system power off time and power failure load is built Mould is calculated；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load is consistent with formula (1)-(4), But due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(2) the quantization Modeling Calculation formula and formula (5)-(8) of artificial fault isolation stage system blackout time and power failure load Cause, but due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(3) the quantization Modeling Calculation formula of fault restoration stage system power off time and power failure load is consistent with formula (9)-(12)；

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) one Cause.

C. the quantization Modeling Calculation of mixed configuration " three is distant " and system blackout time during " two is distant " distribution terminal and power failure load Step is as follows：(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial Fault Isolation The quantization Modeling Calculation of stage system power off time and power failure load；(3) fault restoration stage system power off time and power failure are negative The quantization Modeling Calculation of lotus；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load is consistent with formula (1)-(4), But due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(2) the quantization Modeling Calculation of artificial fault isolation stage service system power off time and power failure load：

First, it is assumed that the line sectionalizing switch of configuration " three is distant " distribution terminal is common M-1, then based on all " three is distant " distribution terminals Line sectionalizing switch divides " three is distant " common M in region for obtaining.For analyze artificial fault isolation stage the system blackout time and Power failure load, uses Ω_i’The load aggregation in the i-th ' individual " three is distant " distribution terminal region is represented, | Ω_i’| it is the user in the region Sum；With event group W=(w₁,w₂,…,w_2i’-1,w_2i’,…,w_2M-1,w_2M) " three is distant " distribution end residing for representing fault position The configuring condition of " two is distant " Distributing Terminal Assembly, altogether including 2M event, is embodied as in region determined by end and region：

w_2i’-1：Failure generation is configured with " two is distant " and matches somebody with somebody in the i-th ' individual " three is distant " region determined by distribution terminal, and the region Electric terminals；

w_2i’：Failure occurs to be not configured with " two is distant " distribution end in the i-th ' individual " three is distant " region, but region determined by distribution terminal End；

Then the artificial fault isolation stage of the i-th section of region wire failure corresponding system blackout time be：

$T_2=\underset{j\&Element;{\mathrm{\&Omega;}}_1}{\&Sigma;}{T}_{2i1}+\underset{j\&Element;{\mathrm{\&Omega;}}_2}{\&Sigma;}{T}_{2i2}...+\underset{j\&Element;{\mathrm{\&Omega;}}_M}{\&Sigma;}{T}_{2iM}---\left(16\right)$

System blackout load is accordingly：

$E_2=\underset{j\&Element;{\mathrm{\&Omega;}}_1}{\&Sigma;}{E}_{2i^{\&prime;}1}+\underset{j\&Element;{\mathrm{\&Omega;}}_2}{\&Sigma;}{E}_{2i^{\&prime;}2}...+\underset{j\&Element;{\mathrm{\&Omega;}}_M}{\&Sigma;}{E}_{2i^{\&prime;}M}---\left(18\right)$

(3) the quantization Modeling Calculation formula of fault restoration stage system power off time and power failure load is consistent with formula (9)-(12).

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) one Cause.

The system blackout time and power failure load modeling that there is the feeder line of interconnection switch are calculated according to the configuring condition of distribution terminal It is divided into following three class：The quantization modeling of system blackout time and power failure load when a. all configuring " three is distant " distribution terminal is counted Calculate；B. system blackout time during whole configuration " two is distant " distribution terminals and the quantization Modeling Calculation of power failure load；C. mixing is matched somebody with somebody The quantization Modeling Calculation of system blackout time and power failure load when putting " three is distant " and " two is distant " distribution terminal；

A. the system blackout time and the quantization Modeling Calculation step of power failure load during whole configuration " three is distant " distribution terminals is as follows： (1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial fault isolation stage system is stopped Electric time and the quantization Modeling Calculation of power failure load；(3) quantization of fault restoration stage system power off time and power failure load is built Mould is calculated；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load is consistent with formula (1)-(4), But due to each section of artificial failure load isolation time t in region_2iIt is 0, therefore result of calculation is 0；

(2) the quantization Modeling Calculation formula and formula (5)-(8) of artificial fault isolation stage system blackout time and power failure load Cause, but due to each section of artificial failure load isolation time t in region_2iIt is 0, therefore result of calculation is 0.

(3) the quantization Modeling Calculation of fault restoration stage system power off time and power failure load：

The corresponding system blackout time in fault restoration stage of i-th section of region wire failure is：

$T_{3i}=t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;U_i+t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\&lsqb;\underset{j=i+1}{\overset{i-1}{\mathrm{\&Sigma;}}}{U}_j\underset{k=i+1}{\overset{j}{\mathrm{\&Pi;}}}{z}_k\&rsqb;+t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\&lsqb;\underset{j=1}{\overset{j=i-1}{\mathrm{\&Sigma;}}}{U}_j\underset{k=j+1}{\overset{i}{\mathrm{\&Pi;}}}{z}_k\&rsqb;---\left(19\right)$

In formula, T_3iRepresent the corresponding system blackout time in fault restoration stage of i-th section of region wire failure, t_3iIt is i-th section of area The fault correction time in domain；

The fault restoration stage, corresponding system blackout Time Calculation formula was consistent with formula (10).

System blackout load is accordingly：

$E_{3i}=t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;P_i+t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\&lsqb;\underset{j=i+1}{\overset{i-1}{\&Sigma;}}{P}_j\&CenterDot;\underset{k=i+1}{\overset{j}{\&Pi;}}{z}_k\&rsqb;+t_{3i}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\&lsqb;\underset{j=1}{\overset{j=i-1}{\&Sigma;}}{P}_j\&CenterDot;\underset{k=j+1}{\overset{i}{\&Pi;}}{z}_k\&rsqb;---\left(20\right)$

In formula, E_3iRepresent the fault restoration stage corresponding system blackout load of i-th section of region wire failure；

The fault restoration stage, corresponding system blackout carry calculation formula was consistent with formula (12).

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) one Cause.

B. the system blackout time and the quantization Modeling Calculation step of power failure load during whole configuration " two is distant " distribution terminals is as follows： (1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial fault isolation stage system is stopped Electric time and the quantization Modeling Calculation of power failure load；(3) quantization of fault restoration stage system power off time and power failure load is built Mould is calculated；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load is consistent with formula (1)-(4), But due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(2) the quantization Modeling Calculation formula and formula (5)-(8) of artificial fault isolation stage system blackout time and power failure load Cause, but due to each section of artificial failure load isolation time t in region_2iIt is not 0, therefore result of calculation is not 0；

(3) the quantization Modeling Calculation formula of fault restoration stage system power off time and power failure load and formula (10), (12), (19) (20) it is consistent；

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) one Cause；

C. the quantization Modeling Calculation of mixed configuration " three is distant " and system blackout time during " two is distant " distribution terminal and power failure load Step is as follows：(1) the quantization Modeling Calculation of fault location stage system blackout time and power failure load；(2) artificial Fault Isolation The quantization Modeling Calculation of stage system power off time and power failure load；(3) fault restoration stage system power off time and power failure are negative The quantization Modeling Calculation of lotus；(4) the quantization Modeling Calculation of troubleshooting stage system power off time and power failure load；

(1) the quantization Modeling Calculation formula of fault location stage system blackout time and power failure load is consistent with formula (1)-(4), But due to each section of artificial failure load isolation time t in region_2iIt is 0, therefore result of calculation is 0；

(2) the quantization Modeling Calculation formula and formula (15)-(18) of artificial fault isolation stage system blackout time and power failure load Unanimously；

(3) the quantization Modeling Calculation formula of fault restoration stage system power off time and power failure load and formula (10), (12), (19) (20) it is consistent；

(4) the quantization Modeling Calculation formula of troubleshooting stage system power off time and power failure load and formula (13) and (14) one Cause.

3. the distribution terminal of the wrong influence of consideration information link data transfer according to claim 1 is layouted optimization method, It is characterized in that：In step 7) in, described event A includes following three classes subevent：A. event A1：Remote information is errorless, but Remote signalling information is wrong.B. event A2：Remote information is wrong, but remote signalling information is errorless；C. event A3：Remote information is wrong, and distant Letter information is wrong；

Event B includes following three classes subevent：A. event B1：The determination of telemetry intelligence (TELINT) erroneous effects abort situation.B. event B2： The determination of telemetry intelligence (TELINT) erroneous effects failure mode.C. event B3：Telemetry intelligence (TELINT) mistake influences abort situation and species simultaneously It is determined that；

Event C includes the nine class subevents determined by event A and event B：A. event C1：Remote information is errorless, but remote signalling is believed Breath it is wrong, and telemetry intelligence (TELINT) erroneous effects abort situation determination；B. event C2：Remote information is errorless, but remote signalling information is wrong, And information errors influence the determination of failure mode；C. event C3：Remote information is errorless, but remote signalling information is wrong, and telemetry intelligence (TELINT) Mistake influences the determination of abort situation and species simultaneously；D. event C4：E. remote information is wrong, but remote signalling information is errorless, and distant The determination of measurement information erroneous effects abort situation；Event C5：Remote information is wrong, but remote signalling information is errorless, and information errors shadow Ring the determination of failure mode；F. event C6：Remote information is wrong, but remote signalling information is errorless, and telemetry intelligence (TELINT) mistake influences simultaneously The determination of abort situation and species；G. event C7：Remote control and remote signalling information are wrong, and telemetry intelligence (TELINT) erroneous effects abort situation Determination；H. event C8：Remote control and remote signalling information are wrong, and telemetry intelligence (TELINT) erroneous effects failure mode determination；I. event C9：Remote control and remote signalling information are wrong, and telemetry intelligence (TELINT) mistake influences the determination of abort situation and species simultaneously.

4. the distribution terminal of the wrong influence of consideration information link data transfer according to claim 1 is layouted optimization method, It is characterized in that：In step 9) in, it is described to step 7) in all subevents quantify the specific steps of Modeling Calculation such as Under：

1. event A quantifies correction model includes the quantization correction model of three class events：

A. event A1：When this occurs, relative to above-mentioned steps 6) in the fault restoration stage quantization formula, wherein Fault correction time need to be modified to：

$t_{A_1}=t_{3i}+t_3^{11}---\left(21\right)$

In formula,It is the time for being checked remote signaling function and being modified to information；

B. event A2：When this occurs, relative to above-mentioned steps 6) in artificial fault isolation stage quantitative model, wherein The system blackout load of artificial fault isolation stage be expressed as：

$E_{2i}^{12}=t_{2i}^{\&prime;\&prime;}\&CenterDot;l_i\&CenterDot;f_i\&CenterDot;\underset{j=1}{\overset{m}{\&Sigma;}}{P}_j+E_{2i}---\left(22\right)$

In formula, t₂"=t₂ ¹²Time for needed for inspection amendment being carried out to remote information and carry out isolation processing to failure again；

C. event A3：When this occurs, relative to above-mentioned steps 6) in the fault restoration stage quantization formula, wherein Artificial fault isolation stage system blackout carry calculation formula it is consistent with formula (22), the t in this up-to-date style₂" need to use t₂ ¹³ Replace, t₂ ¹³Represent needed for the function and information of remote control and remote signalling check amendment and carrying out to failure isolation processing again Time；

2. event B quantifies correction model includes the quantization correction model of three class events：

A. event B1：When this occurs, relative to above-mentioned steps 6) in fault location stage quantization formula, wherein Fault location time need to be modified to：

$t_{B_1}=t_{1i}+t_1^{21}---\left(23\right)$

Wherein, t₁ ²¹It is telemetry function to be checked and information is corrected, artificial searching positions correct abort situation Time.

B. event B2：When this occurs, relative to above-mentioned steps 6) in fault location stage quantization formula, wherein Fault location time need to be modified to：

$t_{B_2}=t_{1i}+t_1^{22}---\left(24\right)$

Wherein, t₁ ²²It is that telemetry intelligence (TELINT) is corrected, rejudges the time of failure mode；

C. event B3：When this occurs, relative to above-mentioned steps 6) in fault location stage quantization formula, wherein Fault location time need to be modified to：

$t_{B_3}=t_{1i}+t_1^{21}+t_1^{22}---\left(25\right)$

3. event C quantifies correction model includes the quantization correction model of nine class events：

Because nine class subevents in event C are combined with three class subevents in event B by three class subevents in event A, Therefore the time quantization correction model of this nine classes event generation is：

A. (probability for setting its generation is p to event C1₃₁)：

t_C11=t_3i+t₃ ¹¹ (26)

t_C12=t_1i+t₁ ²¹ (27)

t_C1=t_C11+t_C12 (28)

B. (probability for setting its generation is p to event C2₃₂)：

t_C21=t_3i+t₃ ¹¹ (29)

t_C22=t_1i+t₁ ²² (30)

t_C2=t_C21+t_C22 (31)

C. (probability for setting its generation is p to event C3₃₃)：

t_C31=t_3i+t₃ ¹¹ (32)

t_C32=t_1i+t₁ ²¹+t₁ ²² (33)

t_C3=t_C31+t_C32 (34)

D. (probability for setting its generation is p to event C4₃₄)：

t_C41=t_2i+t₂ ¹² (35)

t_C42=t_1i+t₁ ²¹ (36)

t_C4=t_C41+t_C42 (37)

E. (probability for setting its generation is p to event C5₃₅)：

t_C51=t_2i+t₂ ¹² (38)

t_C52=t_1i+t₁ ²² (39)

t_C5=t_C51+t_C52 (40)

F. (probability for setting its generation is p to event C6₃₆)：

t_C61=t_2i+t₂ ¹² (41)

t_C62=t₁+t_1i ²¹+t₁ ²² (42)

t_C6=t_C61+t_C62 (43)

G. (probability for setting its generation is p to event C7₃₇)：

t_C71=t_2i+t₂ ¹³ (44)

t_C72=t_1i+t₁ ²¹ (45)

t_C7=t_C71+t_C72 (46)

H. (probability for setting its generation is p to event C8₃₈)：

t_C81=t_2i+t₂ ¹³ (47)

t_C82=t_1i+t₁ ²² (48)

t_C8=t_C81+t_C82 (49)

I. (probability for setting its generation is p to event C9₃₉)：

t_C91=t_2i+t₂ ¹³ (50)

t_C92=t_1i+t₁ ²¹+t₁ ²² (51)

t_C9=t_C91+t_C92 (52)

Assuming that the accuracy of remote information is p_c；The accuracy of remote signalling information is p_s；The accuracy of telemetry intelligence (TELINT) is p_m, wherein, p_m Can be expressed as again：

(1-p_m)=p_m1+p_m2+p_m3 (53)

Wherein, p_m1Represent the wrong influence abort situation of remote measurement but the probability for not influenceing failure mode definite event to occur；p_m2Generation The wrong influence failure mode of table remote measurement but the probability that impact position definite event does not occur；p_m3Represent the wrong influence failure of remote measurement The probability that species and position definite event occur；

Therefore, the probability that each subevent occurs can be expressed as：

P=1-p_m·p_c·p_s (54)

Wherein, p is the probability that the wrong event of data occurs.

p₁=(1-p_c·p_s)p_m (55)

p₂=(1-p_m)·p_c·p_s (56)

p₃=(1-p_c·p_s)·(1-p_m) (57)

p₁₁=p_c·(1-p_s)·p_m (58)

p₁₂=(1-p_c)·p_s·p_m (59)

p₁₃=(1-p_c)(1-p_s)·p_m (60)

p₂₁=p_c·p_s·p_m1 (61)

p₂₂=p_c·p_s·p_m2 (62)

p₂₃=p_c·p_s·p_m3 (63)

p₃₁=p_c·(1-p_s)·p_m1 (64)

p₃₂=p_c·(1-p_s)·p_m2 (65)

p₃₃=p_c·(1-p_s)·p_m3 (66)

p₃₄=(1-p_c)·p_s·p_m1 (67)

p₃₅=(1-p_c)·p_s·p_m2 (68)

p₃₆=(1-p_c)·p_s·p_m3 (69)

p₃₇=(1-p_c)(1-p_s)·p_m1 (70)

p₃₈=(1-p_c)(1-p_s)·p_m2 (71)

p₃₉=(1-p_c)(1-p_s)·p_m3 (72)

Each phases-time is modified with expectation value analysis method, be configured with after amendment correct in the case of " three is distant " terminal when Between it is as follows：

1. the time complexity curve of fault location stage：

$\begin{array}{c}{t}_{1i}^{\&prime;}=t_{1i}\&CenterDot;p_1+(t_{1i}+t_1^{21})\&CenterDot;p_{21}+(t_{1i}+t_1^{22})\&CenterDot;p_{22}\\ +(t_{1i}+t_1^{21}+t_1^{22})\&CenterDot;p_{23}+(t_{1i}+t_1^{21})\&CenterDot;p_{31}+(t_{1i}+t_1^{22})\&CenterDot;p_{32}\\ +(t_{1i}+t_1^{21}+t_1^{22})\&CenterDot;p_{33}+(t_{1i}+t_1^{21})\&CenterDot;p_{34}+(t_{1i}+t_1^{22})\&CenterDot;p_{35}\\ +(t_{1i}+t_1^{21}+t_1^{22})\&CenterDot;p_{36}+(t_{1i}+t_1^{21})\&CenterDot;p_{37}+(t_{1i}+t_1^{22})\&CenterDot;p_{38}\\ +(t_{1i}+t_1^{21}+t_1^{22})\&CenterDot;p_{39}+(1-p)\&CenterDot;t_{1i}\end{array}---\left(73\right)$

Obtained after arrangement：

2. the time complexity curve of artificial fault isolation stage：

$t_{2i}^{\&prime;\&prime;}=t_{2i}+(1-p_c)\&CenterDot;p_s\&CenterDot;t_2^{12}+(1-p_c)\&CenterDot;(1-p_s)\&CenterDot;t_2^{13}---\left(75\right)$

3. the time complexity curve in fault restoration stage：

$t_{3i}^{\&prime;}=t_{3i}+p_c\&CenterDot;(1-p_s)\&CenterDot;t_3^{11}---\left(76\right)$

Bring the revised time into above-mentioned steps 6) in Chinese style (1) to formula (20).

5. the distribution terminal of the wrong influence of consideration information link data transfer according to claim 1 is layouted optimization method, It is characterized in that：In step 10) in, described utilization " three is distant " function effect analysis module, according to above-mentioned steps 2) to step 9) specifically layout position of the result to distribution power automation terminal device on feeder line optimizes configuration, in given distribution terminal On the basis of configuration quantity, object function is set up using the power failure load of above-mentioned each configuring condition, reliability conditions are to power Constraint, and then obtain feeder line distribution terminal and layout the comprising the following steps that of program results：

A. according to step 7) in formula (74)~(76) replacement step 6 for obtaining) in respective stage power off time, according to step 6) the power failure load for obtaining sets up object function, and uses genetic algorithm for solving object function, carries out genetic manipulation；Object function It is as follows：

$\min (E\&CenterDot;C_E+N_2\&CenterDot;C_2\&CenterDot;\frac{i_2{(1+i_2)}^{a_2}}{{(1+i_2)}^{a_2}-1}+N_3\&CenterDot;C_3\&CenterDot;\frac{i_3{(1+i_3)}^{a_3}}{{(1+i_3)}^{a_3}-1})---\left(77\right)$

In formula, C_EIt is unit electricity loss of outage；N₂And N₃It is the configuration quantity of " two is distant " and " three is distant " distribution terminal；C₂And C₃For The initial outlay unit price of " two is distant " and " three is distant " distribution terminal；i₂And i₃It is discounting for " two is distant " and " three is distant " distribution terminal investment Rate；a₂And a₃It is the Economic Life of " two is distant " and " three is distant " distribution terminal；

B. the fitness value in genetic algorithm judges whether to reach stopping criterion for iteration, and method is to build fitness function, Reliability constraint is added in the object function shown in formula (77) in the form of penalty function, as hereditary individual fitness Evaluation function；

Wherein, reliability constraint uses the power supply reliability threshold value constraint condition of setting, i.e.,

β₁＞ β_set (78)

Wherein, β_setIt is the power supply reliability requirement of feeder line；β₁It is the power supply reliability under distribution terminal sensor distributing, specific table Up to formula such as formula (23) Suo Shi：

${\mathrm{\&beta;}}_1=\frac{8760-(T/\underset{i=1}{\overset{m}{\&Sigma;}}{U}_i)}{8760}---\left(79\right)$

Wherein, T considers that the influence of information system is calculated using formula (13) with formula (74)~(76)；

C. when reliability constraint is unsatisfactory in continuous m generations, then return to step 1), readjust required configuration on feeder line Distribution terminal quantity；Otherwise terminate, the optimal program results of layouting of output feeder distribution terminal.