CN104537575A - Computing method of power grid safety economy high-quality operation comprehensive index - Google Patents
Computing method of power grid safety economy high-quality operation comprehensive index Download PDFInfo
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Abstract
The invention provides a computing method of a power grid safety economy high-quality operation comprehensive index. The method comprises the steps that an evaluation index system of the power grid safety economy high-quality operation comprehensive index is established; the single sorting weight vectors of indexes are computed; the weights of the indexes relative to the power grid safety economy high-quality operation comprehensive index are obtained by computing; basic power data of a power grid to be evaluated are obtained, and the index values of the indexes are obtained; the index values of the indexes are compared with an evaluation standard, and scoring values of the indexes are obtained; and the power grid safety economy high-quality operation comprehensive index of the power grid to be evaluated is obtained by computing. Safe operation, economical operation and high-quality operation of the power grid are tightly combined, the evaluation result is reliable, accuracy is high, the weak link of power grid safety economy high-quality operation can be well found, precontrol over power grid operation risks is enhanced, and related decision reference information is provided for power grid operation mode optimization and power supply guaranteeing.
Description
Technical field
The present invention relates to the computing method that the economic high-quality of a kind of power grid security runs aggregative index.
Background technology
In recent years, power network development is rapid, and electrical network scale progressively increases, structure more sophisticated, and operation of power networks affects continuous enhancing by all kinds of external factor, and various risk factors get more and more, and various accident odds also sharply increases.Modern society's life is high to the degree of dependence of electric power, power department will directly have influence on the every aspect of social production life to the response of these accidents, therefore need to strengthen the work of operation of power networks risk management and control further, keep power network safety operation and reliable power supply, avoid large area blackout to occur.
Summary of the invention
The economic high-quality of a kind of power grid security is the object of the present invention is to provide to run the computing method of aggregative index, aggregative index is run by structure power grid security, economy, high-quality, can realize analyzing the factor affecting power grid security, economy, high-quality are run, strengthen operation of power networks prevention of risk and management and control.
Technical scheme of the present invention is:
The economic high-quality of power grid security runs computing method for aggregative index, comprises the following steps:
(1) adopt analytical hierarchy process, build the evaluation index system that the economic high-quality of power grid security runs aggregative index, comprise destination layer, rule layer and indicator layer:
Destination layer: run the index of aggregative index as destination layer using the economic high-quality of power grid security;
Rule layer: be made up of the index of reflection destination layer, comprise electric power netting safe running index, economy operation of power grid exponential sum electrical network high-quality runs index three indexs:
Indicator layer: seven indexs comprising reflection electric power netting safe running index: N-1 percent of pass, N-2 percent of pass, height jeopardize responsible consumer power supply reliability, short-circuit current qualification rate, subtract for load and subtract for load proportion, grid disconnection degree and risk duration; Seven indexs of reflection economy operation of power grid index: the heavy duty of Network Loss Rate, section ratio, transformer load rate degree of unbalancedness, load rate of plant, plant stand is idle unbalance factor, the defective ratio of power factor, unit average utilization; The two indices that reflection electrical network high-quality is run: rate of qualified voltage and website power supply reliability;
(2) respectively pairwise comparison matrix is constructed to rule layer and indicator layer, calculate single rank order filtering of each index, and according to single rank order filtering of each index, gather and calculate each index runs aggregative index weight relative to the economic high-quality of power grid security;
(3) obtain the basic electric power data of electrical network to be assessed, calculate the desired value of each index of indicator layer, the standards of grading of the desired value of each index and each index are compared, obtain the marking value of each index;
(4) run the weight of aggregative index according to the marking value of each index of indicator layer and each index relative to the economic high-quality of power grid security, the economic high-quality of power grid security that weighted sum calculates electrical network to be assessed runs aggregative index.
The economic high-quality of described power grid security runs the computing method of aggregative index, in described step (3), obtains the basic electric power data of electrical network to be assessed, calculates the desired value of each index of indicator layer, specifically comprise:
(21) on operation of power networks model basis to be assessed, formulate N-1 equipment failure collection, periodically carry out N-1 scanning to electrical network to be assessed, statistics obtains N-1 percent of pass;
(22) on operation of power networks model basis to be assessed, formulate N-2 equipment failure collection, periodically carry out N-2 scanning to electrical network to be assessed, statistics obtains N-2 percent of pass;
(23) on operation of power networks model basis to be assessed, automatic search electrical network weakness runs link, jeopardizes responsible consumer account data in conjunction with high, runs link and carries out fault simulation, obtain height and jeopardize responsible consumer power supply reliability electrical network weakness;
(24) on operation of power networks model basis to be assessed, calculation of short-circuit current is carried out to whole network equipment, counts short-circuit current qualification rate, adopt following formulae discovery to obtain qualification rate:
Short-circuit current qualification rate=short-circuit current approved apparatus number/total number of devices;
(25) on operation of power networks model basis to be assessed, formulate equipment failure collection, carry out fault simulation, statistics obtains subtracting for load and subtracts for load proportion;
(26) the solution column-slice number of electrical network to be assessed is added up, obtain grid disconnection degree;
(27) on operation of power networks model basis to be assessed, formulate bus and important section equipment Inspection set, count busbar voltage and go beyond the scope duration and important section overstable limit working time, obtain the risk duration;
(28) obtain total Power loss of electrical network to be assessed and power data of always surfing the Net, adopt following formulae discovery to obtain Network Loss Rate:
Network Loss Rate=total Power loss/power of always surfing the Net;
(29) obtain the heavily loaded section number of electrical network to be assessed and total section logarithmic data, adopt following formulae discovery to obtain section heavy duty ratio:
Section heavy duty ratio=heavily loaded section number/total section number;
(210) load data of electrical network Nei Ge transformer station to be assessed, the rated capacity account data of transformer is obtained, calculate the load factor of each transformer, statistics obtains most high transformer load factor and minimum transformer load rate, adopts following formulae discovery to obtain transformer load rate degree of unbalancedness:
Transformer load rate degree of unbalancedness=1-(minimum transformer load rate/most high transformer load factor) wherein, transformer load rate=transformer applied power/transformer rated capacity;
(211) obtain the confession of electrical network to be assessed, the burden with power data of consumer, count equipment peak load, average load, adopt following formulae discovery to go out load rate of plant:
Load rate of plant=equipment average load/equipment peak load;
(212) obtain total plant stand number of electrical network to be assessed, count reactive balance situation by plant stand highest voltage level, and then count the plant stand number of reactive balance, adopt following formulae discovery to obtain the idle unbalance factor of plant stand:
Plant stand is idle unbalance factor=reactive balance plant stand number/total plant stand number;
(213) the defective nodes of electrical network internal power factor to be assessed is added up, adopts following formulae discovery to obtain the defective ratio of power factor:
The defective nodes of the defective ratio=power factor of power factor/total nodes;
(214) obtain unit actual measurement generating data and the unit capacity data of electrical network to be assessed, calculate unit utilization factor to survey generated energy/unit capacity, add up during unit operation, adopt following formulae discovery to obtain unit average utilization:
(215) obtain bus equipment measured data and the account supplemental characteristic of electrical network to be assessed, statistics obtains the rate of qualified voltage of each electric pressure node;
(216) master station obtaining electrical network to be assessed counts, be that starting point travels through whole network data one by one with website, find out and be less than or equal to the maximum UNICOM region of 2 with the set out peripheral communication links that formed of this station, that is: weak power supply area, if there is not this weakness zone, this website reliability is designated as 1, and last summing value draws the reliable plant stand summation of power supply, adopts following formulae discovery to obtain website power supply reliability:
Website power supply reliability=reliable website summation/master station of powering counts.
As shown from the above technical solution, the present invention adopts analytical hierarchy process to build the evaluation index system of power grid security economic high-quality operation aggregative index, by calculating the score value affecting some key indexs that the economic high-quality of power grid security is run, and then power grid security economic high-quality operation aggregative index is assessed, the present invention is by electric power netting safe running, economical operation and high-quality are run and are closely linked, can make operation of power networks and more comprehensively assessing, assessment result is more reliable, accuracy is higher, contribute to the weak link finding out the economic high-quality operation of power grid security, strengthen the pre-control to operation of power networks risk, for optimizing power system operating mode, ensure that electric power supply provides relevant Decision reference information.
Accompanying drawing explanation
Fig. 1 is method flow diagram of the present invention.
Embodiment
The present invention is further illustrated below in conjunction with specific embodiment.
As shown in Figure 1, the economic high-quality of a kind of power grid security runs the computing method of aggregative index, comprises the following steps:
S1, employing analytical hierarchy process, resolve into some grades by each correlative factor affecting power grid security economic high-quality operation aggregative index, builds the comprehensive assessment index system that the economic high-quality of power grid security runs aggregative index, as shown in table 1:
Table 1
S2, respectively pairwise comparison matrix is constructed to rule layer and indicator layer, calculate single rank order filtering of each index and do consistency check.
S21, rule layer weight vector calculate
Three subordinate's factors of aggregative index are run: electric power netting safe running, economy operation of power grid, electrical network high-quality are run, and are constructed as follows judgment matrix, as shown in table 2 for the economic high-quality of power grid security:
| W1i | Electric power netting safe running | Economy operation of power grid | Electrical network high-quality is run |
| Electric power netting safe running | 1 | 1 | 1 |
| Economy operation of power grid | 1 | 1 | 1 |
| Electrical network high-quality is run | 1 | 1 | 1 |
Table 2
Can be calculated weight vector:
Proper value of matrix λ
max=3, CI=0, CR=0 < 0.1, meets coherence request.
S22, indicator layer weight vector calculate
(1) electric power netting safe running index
Seven subordinate's factors for electric power netting safe running index: N-1 percent of pass, N-2 percent of pass, height jeopardize responsible consumer power supply reliability, short-circuit current, subtract for load and subtract for load proportion, grid disconnection degree, risk duration, be constructed as follows judgment matrix, as shown in table 3:
Table 3
Can be calculated weight vector:
Proper value of matrix λ
max=6.912, CI=-0.015, CR=-0.011<0.1, meet coherence request.
(2) economy operation of power grid index
Seven subordinate's factors for economy operation of power grid index: Network Loss Rate, section heavy duty ratio,
Transformer load rate degree of unbalancedness, load rate of plant, plant stand is idle unbalance factor, the defective ratio of power factor, unit average utilization, be constructed as follows judgment matrix, as shown in table 4:
Table 4
Can be calculated weight vector:
Proper value of matrix λ
max=7.393, CI=0.066, CR=0.05<0.1, meet coherence request.
(3) electrical network high-quality runs index
Liang Ge subordinate factor for electrical network high-quality is run: rate of qualified voltage, the defective ratio of idle configuration, be constructed as follows judgment matrix, as shown in table 5:
| W1i | Rate of qualified voltage | Power supply reliability |
| Rate of qualified voltage | 1 | 2 |
| Power supply reliability | 0.5 | 1 |
Table 5
Can be calculated weight vector:
There is not consistency problem in second-order matrix.
S3, single ordering vector according to each index, gather and calculate each index runs aggregative index weight relative to the economic high-quality of power grid security, as shown in mark in table 1.
S4, obtain the basic electric power data of electrical network to be assessed, calculate the desired value of each index of indicator layer, the standards of grading (representing operation of power networks optimum condition with 100 points) of the desired value of each index and each index are compared, obtains the marking value of each index.
(1) N-1 percent of pass
N-1 percent of pass is in order to check electric network composition intensity and whether to meet first order safety and stability standard-required, be divided into the N-1 percent of pass of non-fault N-1 percent of pass and single element fault, add up by not taking the stability contorting measures such as unit shut algorithm, N-1 percent of pass generally should reach 100%, do not get rid of the weak especially area of rack lower than 100%, need to take stability contorting measure to meet the demands, when circuit only sent once by generating plant, send line fault may cause losing more than one genset, this kind of situation is also pressed N-1 principle and is considered.
N-1 percent of pass when non-fault N-1 percent of pass and static security analysis, under requiring normal mode, arbitrary element non-fault disconnects, and power system stability should be able to be kept to run and normal power supply, other element not overload, voltage and frequency are all in allowed band; Namely the N-1 percent of pass of single element fault meets the N-1 percent of pass of first order safety and stability standard; after under normal operating mode, electrical network is subject to single element fault disturbance; protection, switch and reclosing correct operation; do not take stability contorting measure; power grid operation and normal power supply must be kept; other element does not exceed the accident loads ability of regulation, cascading trip does not occur.
Calculate this index, need on current electric grid moving model basis, formulate N-1 equipment failure collection, periodically N-1 scanning is carried out to current electric grid, first order standard with power system safety and stability: keep power grid operation and normal power supply (zero load loss, element not overload, voltage and frequency not overrange) for condition, statistics N-1 percent of pass, marks off different brackets to formulate N-1 percent of pass index with 0 ~ 100% scope, as shown in table 6:
Table 6
(2) N-2 percent of pass
N-2 percent of pass is in order to examine or check the realization degree of electric network composition intensity and second level safety and stability standard.Here " 2 " refer to for wiring on the same tower double loop, parallel double loop, important section etc. more.N-2 percent of pass can keep stable statistics by not taking stability contorting measure electrical network, and its value does not have specific requirement in code and directive/guide.In general, do not take the N-2 percent of pass of stability contorting measure higher, illustrate that power grid architecture is stronger.
Calculate this index, same needs are on current electric grid moving model basis, formulate N-2 equipment failure collection (Main Basis wiring on the same tower circuit, important section etc.), second level standard with power system safety and stability: keep stable operation, but allow loss sub-load and loss amount does not form regulation power grid accident grade in " State Grid Corporation of China security incident investigation code " is condition, statistics N-2 percent of pass, different brackets is marked off to formulate N-2 percent of pass index with 0 ~ 100% scope, as shown in table 7:
Table 7
(3) height jeopardizes responsible consumer power supply reliability
" State Grid Corporation of China's security incident investigation code " regulation: the superfine that relevant department of prefecture-level above local people's governments determines or one-level important power consumers grid side are powered and all interrupted being defined as Pyatyi grid event; The secondary important power consumers grid side that relevant department of prefecture-level above local people's governments determines is powered and is all interrupted being defined as six grades of grid event; The provisional important power consumers grid side that relevant department of prefecture-level above local people's governments determines is powered and is all interrupted being defined as seven grades of grid event.
Height jeopardizes the superfine or one-level important power consumers, secondary important power consumers etc. that responsible consumer mainly comprises the high-risk client such as colliery, rail traction station, relevant department of prefecture-level above local people's governments determines.With the rank of user own with relate to user's number mode that combines and highly jeopardize responsible consumer index to build.
Add up this index to need on current electric grid moving model basis in conjunction with high-risk responsible consumer account data, emulated by fault simulation mode and highly jeopardize responsible consumer power supply reliability, mark off different brackets with 0 ~ 100% scope and highly jeopardize responsible consumer power supply reliability index to formulate, as shown in table 9:
Table 9
(4) short-circuit current qualification rate
To in electrical network short-term operation of power networks risk assessment, due to following load growth and the caused variation of a small amount of electrical network enlarging will be considered, needing to the evaluation of short circuit current level the nargin taking into account current short circuit current level distance short-circuit current limit, is a continually varying numerical value.Because short-circuit current direct relation fault isolation success, there is tremendous influence to electric network security, therefore only consider two kinds of extreme results, as long as exceeding standard appears in the short-circuit current namely under any one short trouble, judge that this method of operation is infeasible, otherwise then this method of operation is feasible.
The judgement that short-circuit current exceeds standard is applicable to the current electric grid method of operation and short-term power system operating mode.When short-circuit current does not exceed standard, different range can be divided to distinguish grid short circuit current conditions to short-circuit current equally.
Calculate this index to need on current electric grid moving model basis in conjunction with Load flow calculation parameter, stability Calculation parameter, load data etc., count short-circuit current qualification rate, different brackets is marked off to formulate short-circuit current qualification rate index with 0 ~ 100% scope, as shown in table 10:
Table 10
(5) subtract for load and subtract for load proportion
In " State Grid Corporation of China's security incident investigation code ", the load of electrical network after fault is subtracted and formulated detailed power grid accident grading standard (seeing code 2.2) for situation, relate generally to and subtract for load and subtract for number percent two aspects, concrete value range is as shown in table 11.
Table 11
Calculate this index to need to formulate equipment failure collection in advance, on the basis of current electric grid moving model, carry out fault simulation, statistics subtracts for load condition, and in actual electric network fault, be not counted in statistics because prepared auto restart action is protected for load, so need to consider prepared auto restart logic in fault simulation.
Divide with table 11 middle grade and realize subtracting the statistics for load condition index, as shown in table 12:
Table 12
(6) grid disconnection degree
Electric system is interfered; its stability is destroyed; lose between generator and electric system other parts, between the part of system and system other parts synchronous and cannot recover synchronous time; electrical communication between them is cut off; resolve into part that is separate, compartment; to prevent fault spread from causing serious consequence, off-the-line that Here it is, generally comprises automatic parallel off and relay protection and automatic safety device action off-the-line.
According to the regulation to grid disconnection degree in " State Grid Corporation of China's security incident investigation code ", more than the 220 kilovolts improper off-the-lines of electrical network become more than three, wherein to have at least in three every sheets generating capacity and supply load before off-the-line be defined as 5 grades of grid event more than 100 megawatts (seeing code 2.2.5).So grid disconnection degree mainly refers to grid disconnection dispersion degree, add up grid disconnection sheet number respectively with 220kV and above, 110kV and above electrical network and divide different brackets to formulate the quantification of grid disconnection level index, as shown in table 13:
Table 13
(7) the risk duration
In " State Grid Corporation of China's security incident investigation code ", relevant regulations is given to the operation of power networks risk duration, but generally judge together with other index, as more than 500 kilovolts monitoring voltage reference mark voltage deviations exceed ± 5%, perdurability is defined as Pyatyi grid event more than 1 hour (code 2.2.5.9), grid power transmission section overstable limit working time was more than 1 hour (code 2.2.6.7), more than 220 kilovolts monitoring voltage reference mark voltage deviations exceed ± and 5%, perdurability is defined as six grades of grid event etc. more than 30 minutes (code 2.2.6.8).
Different brackets is divided to quantize risk duration index in units of minute, hour, day, month, as shown in table 14.Calculate this index to need on current electric grid moving model basis, add turnaround plan data, extract repair time span scope, in conjunction with rate of qualified voltage, section case of heavy load, subtract and judge for other index of correlation such as load.
Table 14
(8) Network Loss Rate
The height of Network Loss Rate is the concentrated expression of electric power enterprise planning design level, production technology level and management level.Network Loss Rate index mainly analyzes grid net loss level from plant capacity loss overall condition, calculate this index to carry out from two aspects: one is the network loss being calculated electrical network by flow calculation program, power attenuation on main consideration circuit and transformer equipment, calculates Network Loss Rate in conjunction with online power meter; Two is making online, off line critical point, and statistics online power, off line power, calculate Network Loss Rate.
Network Loss Rate computing formula is as follows:
Network Loss Rate=total Power loss/power of always surfing the Net
Add up Network Loss Rate by above-mentioned two aspects, within the scope of 0 ~ 100% Network Loss Rate, mark off different brackets to formulate Network Loss Rate index, as shown in Table 15.
Calculate this index to need to depend on Load flow calculation, the data of needs are the machine account parameter of load data, electrical network electrical wiring and each equipment; Add up each upper and lower gateway mouth data simultaneously.
Table 15
(9) section heavy duty ratio
This index is mainly used to find out fully loaded, overload, heavily loaded important profile data (set of some circuit), section load factor is calculated according to section allowance limit value, determine that whether section is heavily loaded by setting load factor heavy duty scope, section heavy duty ratio computing formula is as follows:
Section heavy duty ratio=heavily loaded section number/total section number
Wherein section load factor formula is as follows:
Section load factor=flow through section total burden with power/section allowance limit
Add up the important section of electrical network the whole network to be assessed, periodically calculate section heavy duty ratio, in 0 ~ 100% ratio ranges, mark off different brackets to formulate section heavy duty ratio index, shown in table 16.Calculate this index and need section stability limitation and the burden with power of concrete section equipment.
Table 16
(10) transformer load rate degree of unbalancedness
Between transformer, load factor degree of unbalancedness is used for evaluating the balancing the load of transforming plant main transformer, when load between transformer reaches equilibrium state, the economic and technical norms of whole major network all can be more satisfactory, security, economy, technically can well to be ensured.Computing formula is as follows:
Transformer load rate degree of unbalancedness=1-(minimum transformer load rate/most high transformer load factor)
Wherein the computing formula of each transformer load rate is:
Transformer load rate=transformer applied power/transformer rated capacity
Based on above-mentioned formula, statistics the whole network 35kV above major network transformer load rate degree of unbalancedness or add up each electric pressure transformer load rate degree of unbalancedness or statistics has 2 and above main transformer substation transformer load factor degree of unbalancedness in units of electric pressure, marks off different brackets to formulate transformer load rate degree of unbalancedness index within the scope of 0 ~ 100% degree of unbalancedness.
The data that calculating this index needs are the load data of transformer station, the rated capacity account data of main transformer, calculate the load factor of each main transformer, by statistics, obtain most high transformer load factor and minimum transformer load rate, and calculate load factor degree of unbalancedness between transformer.
General provision 35kV and above major network transformer load rate degree of unbalancedness are less than 10%, this is a statistical standard to whole network equipment, but in actual count, component voltage grade can add up each voltage loads rate degree of unbalancedness, also can add up a certain transformer station (containing 2 and above main transformer) load factor imbalance.This index is divided into 6 grades, concrete division scope and quantization weight score value shown in table 17:
Table 17
(11) load rate of plant
Rate of load condensate is one of important technology economic target that reflection supplies, whether consumer is fully used.From the viewpoint of economical operation, rate of load condensate is more close to 1, and show that equipment utilization degree is better, electricity consumption is more economical.Rate of load condensate computing formula is as follows:
Load rate of plant=equipment average load/equipment peak load
Load rate of plant is the average burden with power within the scope of certain hour and the percentage of the ratio of the highest burden with power, for weighing the difference degree between average load and maximum load.In units of sky, week, the moon, periodic statistics peak load, average load are carried out to electrical network 35kV to be assessed and the burden with power of the equipment such as Above Transmission Lines, transformer, calculate load rate of plant, different load rate grade is marked off to formulate load rate of plant index in 0 ~ 100% scope, shown in table 18.
Table 18
(12) the idle unbalance factor of plant stand
The examination of plant stand is idle unbalance factor is an important process of transformer station's day-to-day operation.Because China's dispatching management scope divides by electric pressure, data in this scheduling are generally only concerned about in the modeling of dispatching automation on-line system, so the idle uneven situation of plant stand is added up with plant stand highest voltage level grid equipment, and then count idle unbalanced plant stand number, adopt following formulae discovery to obtain the idle unbalance factor of plant stand:
Plant stand is idle unbalance factor=reactive balance plant stand number/total plant stand number;
Different balanced ratio grade is marked off to formulate the idle unbalance factor index of plant stand in 0 ~ 100% scope, shown in table 19.
Table 19
(13) the defective ratio of power factor
In this indicator-specific statistics electrical network to be assessed, the ratio of the underproof node of power factor, the smaller the better.Computing formula is:
The defective nodes of the defective ratio=power factor of power factor/total nodes
Wherein, whether qualified power factor is, and judged by the value of its power factor after each node reactive-load compensation, after carrying out reactive-load compensation if do one's best, its power factor does not still reach standard, then can judge that its power factor is defective.After each node is judged, carry out the whole network statistics, draw the defective ratio of power factor, in 0 ~ 100% scope, mark off the defective proportion grades of power factor to formulate the defective ratio index of power factor.
The defective ratio of power factor mainly refers to the defective ratio of transformer efficiency factor, so calculate this index, and the data mainly high voltage side of transformer load measurement data of needs.
Regulation according to " power system voltage and reactive management regulations " Article 12 that State Grid Corporation of China promulgates: the power factor of user when the peak load of grid that local power supply administration specifies, following regulation should be reached: the industrial user of high voltage supply and high voltage supply be equipped with on-load adjustment voltage device power consumer power factor be 0.90 and more than, this index is divided 6 grades, concrete division scope and quantization weight score value shown in table 20:
Table 20
(14) unit average utilization
Real work utilization ratio during this index is used for weighing unit operation.Obtain unit actual measurement generating data and the unit capacity data of electrical network to be assessed, calculate unit utilization factor to survey generated energy/unit capacity, add up during unit operation, adopt following formulae discovery to obtain unit average utilization:
Different utilization factor grade is marked off to formulate unit average service rate index in 0 ~ 100% scope, shown in table 21.
Table 21
(15) rate of qualified voltage
According to the regulation (seeing 4.2 of directive/guide) for voltage permissible variation in " power system voltage and var fire protection technology ", area power grid each electric pressure node voltage permissible variation value is shown in table 22.
Table 22
Based on voltage deviation scope in table 22, in units of sky, week, the moon, periodic statistics rate of qualified voltage is carried out to electrical network 35kV to be assessed and above bus equipment actual measurement voltage, within the scope of 0 ~ 100% qualification rate, mark off different brackets to formulate rate of qualified voltage index.Add up this index and need bus equipment measured data and account supplemental characteristic; Calculate this index to need to depend on Load flow calculation, the data of needs are the machine account parameter of load data, electrical network electrical wiring and each equipment.
Specify that city dweller user's receiving end voltage qualification rate is not less than 95% according in " State Electricity Regulatory Commission 27 command ", more than 10 kilovolts power supply user receiving end voltage qualification rates are not less than 98%, this index is divided into 6 grades, concrete division scope and quantization weight score value shown in table 23:
Table 23
(16) website power supply reliability
Website power supply reliability is used for reflecting grid health operation conditions, there is potential safety hazard factor for investigating in operation of power networks.The master station obtaining electrical network to be assessed counts, be that starting point travels through whole network data one by one with website, find out and be less than or equal to the maximum UNICOM region of 2 with the set out peripheral communication links that formed of this station, that is: weak power supply area, if there is not this weakness zone, this website reliability is designated as 1, and last summing value draws the reliable plant stand summation of power supply, adopts following formulae discovery to obtain website power supply reliability:
Website power supply reliability=reliable website summation/master station of powering counts.
Different weight percentage grade is marked off to formulate website power supply reliability index in 0 ~ 100% scope, shown in table 24.
Table 24
S5, run the weight of aggregative index according to the marking value of each index of indicator layer and each index relative to the economic high-quality of power grid security, the economic high-quality of power grid security that weighted sum calculates electrical network to be assessed runs aggregative index.
By the marking value of each index is contrasted with the qualifying score value of corresponding index, can determine and the specific targets that there is impact are run on the economic high-quality of power grid security to be assessed, thus corresponding Pre-control measures can be taked for the operation risk existed; Meanwhile, by the marking value of each index is contrasted with the full marks value of corresponding index, judge the influence degree size that each index is run the economic high-quality of power grid security and the contribution that forward index is run the economic high-quality of power grid security, thus propose to improve direction.
The above embodiment is only be described the preferred embodiment of the present invention; not scope of the present invention is limited; under not departing from the present invention and designing the prerequisite of spirit; the various distortion that those of ordinary skill in the art make technical scheme of the present invention and improvement, all should fall in protection domain that claims of the present invention determine.
Claims (2)
1. the economic high-quality of power grid security runs computing method for aggregative index, it is characterized in that, comprises the following steps:
(1) adopt analytical hierarchy process, build the evaluation index system that the economic high-quality of power grid security runs aggregative index, comprise destination layer, rule layer and indicator layer:
Destination layer: run the index of aggregative index as destination layer using the economic high-quality of power grid security;
Rule layer: be made up of the index of reflection destination layer, comprise electric power netting safe running index, economy operation of power grid exponential sum electrical network high-quality runs index three indexs;
Indicator layer: seven indexs comprising reflection electric power netting safe running index: N-1 percent of pass, N-2 percent of pass, height jeopardize responsible consumer power supply reliability, short-circuit current qualification rate, subtract for load and subtract for load proportion, grid disconnection degree and risk duration; Seven indexs of reflection economy operation of power grid index: the heavy duty of Network Loss Rate, section ratio, transformer load rate degree of unbalancedness, load rate of plant, plant stand is idle unbalance factor, the defective ratio of power factor, unit average utilization; The two indices that reflection electrical network high-quality is run: rate of qualified voltage and website power supply reliability;
(2) respectively pairwise comparison matrix is constructed to rule layer and indicator layer, calculate single rank order filtering of each index, and according to single rank order filtering of each index, gather and calculate each index runs aggregative index weight relative to the economic high-quality of power grid security;
(3) obtain the basic electric power data of electrical network to be assessed, calculate the desired value of each index of indicator layer, the standards of grading of the desired value of each index and each index are compared, obtain the marking value of each index;
(4) run the weight of aggregative index according to the marking value of each index of indicator layer and each index relative to the economic high-quality of power grid security, the economic high-quality of power grid security that weighted sum calculates electrical network to be assessed runs aggregative index.
2. the economic high-quality of power grid security according to claim 1 runs the computing method of aggregative index, it is characterized in that, in described step (3), obtains the basic electric power data of electrical network to be assessed, calculate the desired value of each index of indicator layer, specifically comprise:
(21) on operation of power networks model basis to be assessed, formulate N-1 equipment failure collection, periodically carry out N-1 scanning to electrical network to be assessed, statistics obtains N-1 percent of pass;
(22) on operation of power networks model basis to be assessed, formulate N-2 equipment failure collection, periodically carry out N-2 scanning to electrical network to be assessed, statistics obtains N-2 percent of pass;
(23) on operation of power networks model basis to be assessed, automatic search electrical network weakness runs link, jeopardizes responsible consumer account data in conjunction with high, runs link and carries out fault simulation, obtain height and jeopardize responsible consumer power supply reliability electrical network weakness;
(24) on operation of power networks model basis to be assessed, calculation of short-circuit current is carried out to whole network equipment, counts short-circuit current qualification rate, adopt following formulae discovery to obtain short-circuit current qualification rate:
Short-circuit current qualification rate=short-circuit current approved apparatus number/total number of devices;
(25) on operation of power networks model basis to be assessed, formulate equipment failure collection, carry out fault simulation, statistics obtains subtracting for load and subtracts for load proportion;
(26) the solution column-slice number of electrical network to be assessed is added up, obtain grid disconnection degree;
(27) on operation of power networks model basis to be assessed, formulate bus and important section equipment Inspection set, count busbar voltage and go beyond the scope duration and important section overstable limit working time, obtain the risk duration;
(28) obtain total Power loss of electrical network to be assessed and power data of always surfing the Net, adopt following formulae discovery to obtain Network Loss Rate:
Network Loss Rate=total Power loss/power of always surfing the Net;
(29) obtain the heavily loaded section number of electrical network to be assessed and total section logarithmic data, adopt following formulae discovery to obtain section heavy duty ratio:
Section heavy duty ratio=heavily loaded section number/total section number;
(210) load data of electrical network Nei Ge transformer station to be assessed, the rated capacity account data of transformer is obtained, calculate the load factor of each transformer, statistics obtains most high transformer load factor and minimum transformer load rate, adopts following formulae discovery to obtain transformer load rate degree of unbalancedness:
The minimum transformer load rate of transformer load rate degree of unbalancedness=1-(/ most high transformer load factor)
Wherein, transformer load rate=transformer applied power/transformer rated capacity;
(211) obtain the confession of electrical network to be assessed, the burden with power data of consumer, count equipment peak load, average load, adopt following formulae discovery to go out load rate of plant:
Load rate of plant=equipment average load/equipment peak load;
(212) obtain total plant stand number of electrical network to be assessed, count reactive balance situation by plant stand highest voltage level, and then count the plant stand number of reactive balance, adopt following formulae discovery to obtain the idle unbalance factor of plant stand:
Plant stand is idle unbalance factor=reactive balance plant stand number/total plant stand number;
(213) the defective nodes of electrical network internal power factor to be assessed is added up, adopts following formulae discovery to obtain the defective ratio of power factor:
The defective nodes of the defective ratio=power factor of power factor/total nodes;
(214) obtain unit actual measurement generating data and the unit capacity data of electrical network to be assessed, calculate unit utilization factor to survey generated energy/unit capacity, add up during unit operation, adopt following formulae discovery to obtain unit average utilization:
；
(215) obtain bus equipment measured data and the account supplemental characteristic of electrical network to be assessed, statistics obtains the rate of qualified voltage of each electric pressure node;
(216) master station obtaining electrical network to be assessed counts, be that starting point travels through whole network data one by one with website, find out and be less than or equal to the maximum UNICOM region of 2 with the set out peripheral communication links that formed of this station, that is: weak power supply area, if there is not this weakness zone, this website reliability is designated as 1, and last summing value draws the reliable plant stand summation of power supply, adopts following formulae discovery to obtain website power supply reliability:
Website power supply reliability=reliable website summation/master station of powering counts.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105139268A (en) * | 2015-07-14 | 2015-12-09 | 国家电网公司 | Power grid safety risk assessment method |
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| CN114399135A (en) * | 2021-11-29 | 2022-04-26 | 国网江苏省电力有限公司 | Power grid operation abnormity index cause correlation determination method based on analytic hierarchy process |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063657A (en) * | 2010-12-23 | 2011-05-18 | 中国电力科学研究院 | Operating level and power supplying capability evaluation method for urban electric distribution network |
| CN103679544A (en) * | 2012-11-27 | 2014-03-26 | 江苏省电力公司南京供电公司 | Comprehensive assessment method for running of intelligent power distribution network |
| CN103903058A (en) * | 2012-12-26 | 2014-07-02 | 中国电力科学研究院 | Assessment method of efficient operation of intelligent power distribution network |
| CN104036364A (en) * | 2014-06-24 | 2014-09-10 | 国家电网公司 | Evaluation method for network structure level of power distribution network |
-
2014
- 2014-12-22 CN CN201410806875.0A patent/CN104537575A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063657A (en) * | 2010-12-23 | 2011-05-18 | 中国电力科学研究院 | Operating level and power supplying capability evaluation method for urban electric distribution network |
| CN103679544A (en) * | 2012-11-27 | 2014-03-26 | 江苏省电力公司南京供电公司 | Comprehensive assessment method for running of intelligent power distribution network |
| CN103903058A (en) * | 2012-12-26 | 2014-07-02 | 中国电力科学研究院 | Assessment method of efficient operation of intelligent power distribution network |
| CN104036364A (en) * | 2014-06-24 | 2014-09-10 | 国家电网公司 | Evaluation method for network structure level of power distribution network |
Non-Patent Citations (2)
| Title |
|---|
| 唐睿: "基于层次分析法的富平配电网综合评估", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 张心洁 等: "智能配电网综合评估体系与方法", 《电网技术》 * |
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| CN105719062A (en) * | 2016-01-15 | 2016-06-29 | 西安交通大学 | Method for assessing risks and weak links of power grid, with double fault probability characteristics considered |
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