CN202004534U - Power grid risk monitoring system - Google Patents
Power grid risk monitoring system Download PDFInfo
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- CN202004534U CN202004534U CN2011200364565U CN201120036456U CN202004534U CN 202004534 U CN202004534 U CN 202004534U CN 2011200364565 U CN2011200364565 U CN 2011200364565U CN 201120036456 U CN201120036456 U CN 201120036456U CN 202004534 U CN202004534 U CN 202004534U
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Abstract
The utility model provides a power grid risk monitoring system, which comprises a transformer station, a remote terminal unit (RTU), a risk detecting server and a risk monitoring server, wherein the RTU is connected with an inductor of the transformer station, the RTU is connected with the risk detecting server through a signal transmission network, the risk detecting server is connected with the risk monitoring server, and the RTU acquires electric signals of a corresponding power device of the transformer station through the inductor and converts the electric signals into digital signals which are output. The risk detecting server receives the digital signals, and enables digital signals which exceed a predetermined threshold to serve as risk signals to be output. Accordingly, the real-time assessment and grading of the risk according to the changes of real-time conditions of the power grid running status are realized, risk pre-control measures are carried out timely, the risk grade is lowered, the risk is prevented from turning into an accident, the loss is reduced, and the reliability of the power supply safety is improved.
Description
Technical field
The utility model particularly about the risk monitoring and control technology of electric power system, is a kind of power grid risk supervisory control system about the risk monitoring and control technology concretely.
Background technology
Risk is present in each business activity of all trades and professions, therefore, carries out the attention that risk monitoring and control more and more is subjected to different industries.In the electric power system, under the overall development target call of intelligent grid, the safe operation of electrical network is had higher requirement, press for risk monitoring and control is applied to power industry.But, in the prior art, the safety in production risk management system that only has south electric network to set up, the application of risk monitoring and control system in power industry that is based upon on the basis that has each production operation system of electrical network now is still blank.The safety in production risk management system that south electric network is set up mainly is based on 9 administrative units in " south electric network safety in production risk management system ", 51 management essentials, 159 management nodes and the foundation of 480 management substandards, and wherein nine submodules are respectively safety management, risk assessment and control, emergent and accident treatment, operating environment, production apparatus, production monitoring, occupational health, Capability Requirement and training, inspection and audit project.South electric network safety in production risk management system mainly contains the deficiency of following two aspects:
(1), this system has mainly carried out combing again, merger and system informationization with some traditional management methods, standard, though realized realizing work such as management, supervision and check, safety evaluation, data maintenance and inquiry from the information system that carries out the transition to application of advanced by manpower, procedure is managed, standardization effort from being carried out the transition to by the extensive style management, but risk management method is mostly kept original way.
(2) this system does not set up specific aim, workable classification of risks principle, thereby the risk analysis of this system and pre-control remain from links such as existing working system in management, method and production technology, processes and carry out, and can influence the Expected Results of risk management.
The utility model content
The utility model embodiment provides a kind of power grid risk supervisory control system, realized the risk situation of change in the real-time reflection operation of power networks process, in time implement the corresponding pre-control means of risk, risk class is reduced to acceptable degree, prevent that risk is converted into accident, reduce the loss, improved the power supply safety reliability.
The purpose of this utility model is, a kind of power grid risk supervisory control system is provided, described power grid risk supervisory control system comprises: server and risk monitoring and control server detect in transformer station, RTU RTU, risk, and described RTU is connected with inductor in the described transformer station; Described RTU detects server by signal transmission network and described risk and is connected; Described risk detects server and is connected with described risk monitoring and control server; Described RTU gathers the signal of telecommunication of electrical device corresponding in the transformer station by described inductor, and the described signal of telecommunication is converted into digital signal output; Described risk detects server, receives described digital signal, and the digital signal that will exceed predetermined threshold is exported as risk signal; Described risk monitoring and control server comprises: the risk class output device, and detect server with described risk and be connected, generate the risk class information of described risk signal according to default risk Metrics, and export described risk class information; Pre-control means output device is connected with described risk class output device, generates the pre-control Action Message of described risk signal correspondence according to default risk bowknot and described risk class information, and exports described pre-control Action Message.
Preferably, described pre-control means output device comprises: signal output apparatus, be connected with described risk class output device, and exporting in the described risk class information is not low-risk risk signal; Determine device, be connected, export the pre-control Action Message of the risk signal correspondence of described signal output apparatus output according to predefined risk bowknot with described signal output apparatus.
Preferably, described power grid risk supervisory control system also comprises: transmission line, the inductor in the described transmission line is connected with described RTU, is used to export the signal of telecommunication of electrical device on the transmission line.
Preferably, described risk monitoring and control server also comprises: risk report output device, be connected with described pre-control means output device, and generate the risk report according to described risk signal and corresponding pre-control Action Message.
Preferably, described risk monitoring and control server also comprises: the Risk-warning output device, be connected with described pre-control means output device, and generate the Risk-warning report according to described risk signal and corresponding risk class.
The beneficial effects of the utility model are, by transformer station in the operation of power networks process of identification, analysis collection in real time and the signal on the transmission line, determine the risk class of signal and determine corresponding pre-control means, realized variation at operation of power networks state real-time condition, risk is carried out real-time assessment and deciding grade and level, in time carry out the pre-control means of risk, prevent that risk is converted into accident, and realized operation of power networks omnidistance controlled, improved operating efficiency, reduced the system maintenance cost, reduce loss, improved the power supply safety reliability.
Description of drawings
In order to be illustrated more clearly in the utility model embodiment or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, accompanying drawing in describing below only is embodiment more of the present utility model, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the structured flowchart of the power grid risk supervisory control system of the utility model embodiment;
Fig. 2 is the circuit theory diagrams of the inductor of the utility model embodiment;
Fig. 3 is the structured flowchart of the RTU among the utility model embodiment;
Fig. 4 is the another kind of structured flowchart of the power grid risk supervisory control system among the utility model embodiment.
Fig. 5 is the structured flowchart of execution mode one of the risk monitoring and control server of the utility model embodiment;
Fig. 6 is the structured flowchart of execution mode two of the risk monitoring and control server of the utility model embodiment;
Fig. 7 is the structured flowchart of execution mode three of the risk monitoring and control server of the utility model embodiment;
Fig. 8 is the structured flowchart of execution mode four of the risk monitoring and control server of the utility model embodiment;
Fig. 9 is the illustraton of model of the risk bowknot of the utility model embodiment;
Figure 10 is the unusual risk bowknot illustraton of model of transformer state among the utility model embodiment;
Figure 11 is the unusual risk Metrics exponential distribution curve chart of transformer state among the utility model embodiment.
Embodiment
Below in conjunction with the accompanying drawing among the utility model embodiment, the technical scheme among the utility model embodiment is clearly and completely described, obviously, described embodiment only is the utility model part embodiment, rather than whole embodiment.Based on the embodiment in the utility model, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the utility model protection.
Power grid risk is a general designation, is meant owing to the defective that power system operating mode changes, electric power system itself exists, monitoring are relaxed or reason such as peopleware is on the low side, and the potential risk that the safe and stable operation of electrical network is brought.Risk all is not cause the potential safety hazard of security incident as yet, must take suitable pre-control means, prevents the generation of accident.In case because risk pre-control improper measures or other reasons cause the generation of power grid security accident, just need to start troubleshooting process, with quick elimination accident impact, power system restoration to the safe operation mode.
Fig. 1 is the structured flowchart of the power grid risk supervisory control system of the utility model embodiment, as shown in Figure 1, the power grid risk supervisory control system specifically comprises: the 101a of transformer station, the 101b of transformer station, RTU10a, RTU10b, risk detect server 20 and risk monitoring and control server 30
Described RTU10a is connected with inductor among the described 101a of transformer station;
Described RTU10b is connected with inductor among the described 101b of transformer station;
Electrical device in the described transformer station comprises: transformer, circuit breaker, isolating switch, reactor, capacitor, direct current system, lightning arrester etc. all comprise inductor in each electrical device.Fig. 2 is the circuit theory diagrams of the inductor in the transformer station of the utility model embodiment.In the utility model, inductor comprises instrument transformer and transducer, according to the type difference of the signal of telecommunication, gathers the signal of telecommunication by different inductors respectively.
Described RTU detects server 20 by signal transmission network and described risk and is connected;
Described risk detects server 20 and is connected with described risk monitoring and control server 30;
Described RTU gathers the signal of telecommunication of electrical device corresponding in the transformer station by described inductor, and the described signal of telecommunication is converted into digital signal output.After RTU collects the signal of telecommunication, the signal of telecommunication is converted into digital signal, by optical cable or wireless the transmission.The signal of telecommunication herein mainly comprises following three kinds: power network signal, device signal, behavior signal.Fig. 3 is the structured flowchart of the RTU among the utility model embodiment, as shown in Figure 3, RTU among the utility model embodiment mainly is made up of 80C196KB single-chip microcomputer, program storage (EPROM), non-volatile data memory (NVRAM), calendar clock, keyboard-display circuit, house dog and reset circuit, RS-232C standard serial interface, wireless communication module, variable connector, parallel interface etc., can gather the signal of telecommunication of many branch roads simultaneously.
Described risk detects server 20, receives described digital signal, and the digital signal that will exceed predetermined threshold is exported as risk signal.
Described risk monitoring and control server 30 is according to default risk Metrics, risk class information and corresponding pre-control Action Message that the risk bowknot is exported described risk signal.
Fig. 4 is the another kind of structured flowchart of the power grid risk supervisory control system among the utility model embodiment, as shown in Figure 4, the power grid risk supervisory control system specifically comprises: transformer station 101, transmission line 102, RTU10a, RTU10b, risk detect server 20 and risk monitoring and control server 30
Described RTU10a is connected with inductor in the described transformer station 101;
Described RTU10b is connected with inductor in the described transmission line 102;
Electrical device in the described transformer station 101 comprises: transformer, circuit breaker, isolating switch, reactor, capacitor, direct current system, lightning arrester etc.Electrical device in the described transmission line 102 comprises: shaft tower, lead wire and earth wire, gold utensil, insulator, backguy, earthing device etc.All comprise inductor in each electrical device.Fig. 2 is the circuit theory diagrams of the inductor in the transformer station of the utility model embodiment.In the utility model, inductor comprises instrument transformer and transducer, according to the type difference of the signal of telecommunication, gathers the signal of telecommunication by different inductors respectively.
Described RTU detects server 20 by signal transmission network and described risk and is connected;
Described risk detects server 20 and is connected with described risk monitoring and control server 30;
Described RTU gathers the signal of telecommunication of electrical device corresponding in transformer station and the transmission line by described inductor, and the described signal of telecommunication is converted into digital signal output.After RTU collects the signal of telecommunication, the signal of telecommunication is converted into digital signal, by optical cable or wireless the transmission.The signal of telecommunication herein mainly comprises following three kinds: power network signal, device signal, behavior signal.Fig. 3 is the structured flowchart of the RTU among the utility model embodiment, as shown in Figure 3, RTU among the utility model embodiment mainly is made up of 80C196KB single-chip microcomputer, program storage (EPROM), non-volatile data memory (NVRAM), calendar clock, keyboard-display circuit, house dog and reset circuit, RS-232C standard serial interface, wireless communication module, variable connector, parallel interface etc., can gather the signal of telecommunication of many branch roads simultaneously.
Described risk detects server 20, receives described digital signal, and the digital signal that will exceed predetermined threshold is exported as risk signal.
Described risk monitoring and control server 30 is according to default risk Metrics, risk class information and corresponding pre-control Action Message that the risk bowknot is exported described risk signal.
Fig. 5 be the utility model embodiment risk monitoring and control server 30 execution mode one structured flowchart as shown in Figure 5, in execution mode one, risk monitoring and control server 30 specifically comprises:
Risk class output device 301 detects server 20 with described risk and is connected, and generates the risk class information of described risk signal according to default risk Metrics, and exports described risk class information.
According to international risk monitoring and control standard, risk is to be measured by the uncertainty of risk and unfavorable these two aspects as a result, and promptly the severity of consequence product that causes with the probability and the accident of accident generation is represented risk.That is: risk (Risk)=risk probability of happening (P) * venture influence consequence (C).When risk probability was between 0-10 in the risk Metrics, then Dui Ying risk probability was for seldom; Risk probability is between 10-30 the time, and then Dui Ying risk probability is for few; Risk probability is between 30-50 the time, and then Dui Ying risk probability is many; Risk probability is between 50-80 the time, and then Dui Ying risk probability is a lot; Risk probability is between 80-100 the time, and then Dui Ying risk probability is frequent.When the risk order of severity was between 0-10 in the risk Metrics, then the Dui Ying risk order of severity was for seldom; The risk order of severity is between 10-30 the time, and then the Dui Ying risk order of severity is for few; The risk order of severity is between 30-50 the time, and then the Dui Ying risk order of severity is many; The risk order of severity is between 50-80 the time, and then the Dui Ying risk order of severity is a lot; The risk order of severity is between 80-100 the time, and then the Dui Ying risk order of severity is frequent.
The computing formula that risk Metrics is abideed by above-mentioned risk is determined the risk class of data, generally comprises level Four: low-risk, middle risk, high risk, excessive risk.
Pre-control means output device 302 is connected with described risk class output device 301, generates the pre-control Action Message of described risk signal correspondence according to default risk bowknot and described risk class information, and exports described pre-control Action Message.
Fig. 6 is the structured flowchart of execution mode two of the risk monitoring and control server 30 of the utility model embodiment, and as shown in Figure 6, in execution mode two, pre-control means output device 302 specifically comprises:
Determine device 3022, be connected, export the pre-control Action Message of the risk signal correspondence of described signal output apparatus 3021 outputs according to predefined risk bowknot with described signal output apparatus 3021.
Fig. 9 is the illustraton of model of the risk bowknot of the utility model embodiment, and as shown in Figure 9, the risk bowknot specifically comprises:
Cause factor: may cause the dangerous potential cause that takes place, and can cause hazard event to take place.
Pre-control means: be used to control the measure that the danger that causes factor to cause takes place.
Hazard event: after pre-control means lost efficacy, dangerous first consequence that causes.
The alleviation means: after occurring at some consequences, the means of being taked such as technology are used for limiting the hazard event consequence and further develop or enlarge.
Event result: one or a succession of result who causes by hazards.
For the behavior risk signal, comprised the work members of behavior risk signal in the risk bowknot, carry out risk analysis and pre-control by work flow, have 124 classes; For the power grid risk signal, comprised the inside and outside omnibearing risk signal of upstream, downstream, electrical network of operation of power networks in the risk bowknot, amount to 114 classes; For the equipment risk signal, comprised the equipment risk signal on whole transformer station, the transmission line in the risk bowknot, amount to 44 classes.Be example with the equipment risk signal below, introduce particular content of the present utility model in detail.For the equipment risk signal, according to the criticality of distinct device for power grid security, from grid equipment inside and outside discriminance analysis, the classification of equipment risk is as shown in table 1.
Table 1
Be example with the transformer state abnormal risk in the classification of the level Four in the table 1 below, specifically introduce the risk bowknot.The corresponding factor that causes the transformer state abnormal risk mainly contains following nine aspects, is specially: annex, lead-in wire, cooling system, sleeve pipe, winding, shunting switch, iron core, dielectric, oil conservator.Figure 10 is the unusual risk bowknot illustraton of model of transformer state among the utility model embodiment, and the dielectric factor with transformer state abnormal risk correspondence is an example below, specifically introduces the risk bowknot in conjunction with Figure 10.At first, the transformer of the transformer station of RTU10 from certain operation of power networks process collects signal of telecommunication a, and described signal of telecommunication a is converted into digital signal output, this signal a shows that the hydrogen content in the transformer oil is a, described risk detection server 20 is determined among the described signal a according to described predetermined threshold (0.0ppm) and is exceeded predetermined threshold, therefore, change risk monitoring and control server 30 over to.
Risk class output device 301 in the risk monitoring and control server 30 generates the risk class information of the signal a of current input by default risk Metrics, and described risk class information shows that the signal a of current input is a high risk.The exponential distribution curve chart of the transformer state abnormal risk correspondence that signal a characterizes as shown in figure 11, abscissa is probability statistics (P), ordinate is the order of severity (C), and the little triangle among Figure 11 is the value-at-risk of current demand signal a, and the zones of different among the figure has been represented different risk class.As shown in Figure 11, the risk probability of signal a is 99.2, and the order of severity is 64, and therefore, risk index is 6348.80001, is high risk.
Fig. 7 is the structured flowchart of execution mode three of the risk monitoring and control server of the utility model embodiment, and as shown in Figure 7, in execution mode three, risk monitoring and control server 30 also comprises:
Risk report output device 303 is connected with described pre-control means output device 302, generates the risk report according to described risk signal and corresponding pre-control Action Message.The simplified summary of the risk report of above-mentioned signal a correspondence is as follows:
A) risk reason: make reason;
B) risk consequence: find impurity and moisture in the oil;
C) pre-control means: the strengthening system prison is made; Analyze reason, strengthen making an inspection tour, periodical test, maintenance disappear to lack and handle.
Fig. 8 is the structured flowchart of execution mode four of the risk monitoring and control server of the utility model embodiment, and as shown in Figure 8, in execution mode four, risk monitoring and control server 30 also comprises:
Risk-warning output device 304 is connected with described pre-control means output device 302, generates the Risk-warning report according to described risk signal and corresponding risk class.
The utility model is by the transformer station in the operation of power networks process of identification, analysis collection in real time and the signal of telecommunication on the transmission line, determine the risk class of signal and take corresponding pre-control means, realized variation at operation of power networks state real-time condition, risk is carried out real-time assessment and deciding grade and level, in time adjust the pre-control means of risk, prevent that risk is converted into accident, and realized operation of power networks omnidistance controlled, improved operating efficiency, reduced the system maintenance cost, reduce loss, improved the power supply safety reliability.
Used specific embodiment in the utility model principle of the present utility model and execution mode are set forth, the explanation of above embodiment just is used for helping to understand method of the present utility model and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present utility model, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as restriction of the present utility model.
Claims (5)
1. a power grid risk supervisory control system is characterized in that, described power grid risk supervisory control system comprises: transformer station, RTU RTU, risk detect server and risk monitoring and control server,
Described RTU is connected with inductor in the described transformer station;
Described RTU detects server by signal transmission network and described risk and is connected;
Described risk detects server and is connected with described risk monitoring and control server;
Described RTU gathers the signal of telecommunication of electrical device corresponding in the transformer station by described inductor, and the described signal of telecommunication is converted into digital signal output;
Described risk detects server, receives described digital signal, and the digital signal that will exceed predetermined threshold is exported as risk signal;
Described risk monitoring and control server comprises:
The risk class output device detects server with described risk and is connected, and generates the risk class information of described risk signal according to default risk Metrics, and exports described risk class information;
Pre-control means output device is connected with described risk class output device, generates the pre-control Action Message of described risk signal correspondence according to default risk bowknot and described risk class information, and exports described pre-control Action Message.
2. power grid risk supervisory control system according to claim 1, it is characterized in that, described power grid risk supervisory control system also comprises: transmission line, the inductor in the described transmission line is connected with described RTU, is used to export the signal of telecommunication of electrical device on the transmission line.
3. power grid risk supervisory control system according to claim 1 is characterized in that, described pre-control means output device comprises:
Signal output apparatus is connected with described risk class output device, and exporting in the described risk class information is not low-risk risk signal;
Determine device, be connected, export the pre-control Action Message of the risk signal correspondence of described signal output apparatus output according to predefined risk bowknot with described signal output apparatus.
4. power grid risk supervisory control system according to claim 1 is characterized in that, described risk monitoring and control server also comprises:
Risk report output device is connected with described pre-control means output device, generates the risk report according to described risk signal and corresponding pre-control Action Message.
5. power grid risk supervisory control system according to claim 1 is characterized in that, described risk monitoring and control server also comprises:
The Risk-warning output device is connected with described pre-control means output device, generates the Risk-warning report according to described risk signal and corresponding risk class.
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| CN2011200364565U CN202004534U (en) | 2011-02-11 | 2011-02-11 | Power grid risk monitoring system |
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| CN2011200364565U CN202004534U (en) | 2011-02-11 | 2011-02-11 | Power grid risk monitoring system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521672A (en) * | 2011-12-01 | 2012-06-27 | 嘉兴电力局 | Safety risk automatic recognition method based on network-distribution production operation plan |
| CN102737286A (en) * | 2012-04-23 | 2012-10-17 | 中国电力科学研究院 | Online risk analysis system and method for regional power grid |
| CN102737287A (en) * | 2012-04-23 | 2012-10-17 | 中国电力科学研究院 | Regional power grid on-line power supply risk assessment system |
| CN103208084A (en) * | 2012-01-12 | 2013-07-17 | 国家电网公司 | Method and device for analyzing working bearing capacity |
| CN104537487A (en) * | 2014-12-25 | 2015-04-22 | 云南电网公司电力科学研究院 | Assessment method of operating dynamic risk of electric transmission and transformation equipment |
| WO2017219357A1 (en) * | 2016-06-24 | 2017-12-28 | 深圳市赛亿科技开发有限公司 | Method and system for monitoring power supply and distribution safety |
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2011
- 2011-02-11 CN CN2011200364565U patent/CN202004534U/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521672A (en) * | 2011-12-01 | 2012-06-27 | 嘉兴电力局 | Safety risk automatic recognition method based on network-distribution production operation plan |
| CN102521672B (en) * | 2011-12-01 | 2016-06-01 | 嘉兴电力局 | A kind of security risk automatic identifying method based on distribution production schedules |
| CN103208084A (en) * | 2012-01-12 | 2013-07-17 | 国家电网公司 | Method and device for analyzing working bearing capacity |
| CN102737286A (en) * | 2012-04-23 | 2012-10-17 | 中国电力科学研究院 | Online risk analysis system and method for regional power grid |
| CN102737287A (en) * | 2012-04-23 | 2012-10-17 | 中国电力科学研究院 | Regional power grid on-line power supply risk assessment system |
| CN104537487A (en) * | 2014-12-25 | 2015-04-22 | 云南电网公司电力科学研究院 | Assessment method of operating dynamic risk of electric transmission and transformation equipment |
| CN104537487B (en) * | 2014-12-25 | 2017-09-22 | 云南电网公司电力科学研究院 | A kind of appraisal procedure of power transmission and transforming equipment operation state risk |
| WO2017219357A1 (en) * | 2016-06-24 | 2017-12-28 | 深圳市赛亿科技开发有限公司 | Method and system for monitoring power supply and distribution safety |
| CN108028548A (en) * | 2016-06-24 | 2018-05-11 | 深圳市赛亿科技开发有限公司 | Power supply and distribution safety monitoring method and system |
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