CN104156888A - Power system operation risk monitoring method based on comprehensive risk evaluation model - Google Patents

Power system operation risk monitoring method based on comprehensive risk evaluation model Download PDF

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Publication number
CN104156888A
CN104156888A CN201410401362.1A CN201410401362A CN104156888A CN 104156888 A CN104156888 A CN 104156888A CN 201410401362 A CN201410401362 A CN 201410401362A CN 104156888 A CN104156888 A CN 104156888A
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China
Prior art keywords
risk
electric system
comprehensive evaluation
monitoring method
method based
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Pending
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CN201410401362.1A
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Chinese (zh)
Inventor
许唐云
瞿海妮
张鹏飞
徐晓伟
肖其师
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Shanghai Electric Power Co Ltd
East China Power Test and Research Institute Co Ltd
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State Grid Shanghai Electric Power Co Ltd
East China Power Test and Research Institute Co Ltd
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Application filed by State Grid Shanghai Electric Power Co Ltd, East China Power Test and Research Institute Co Ltd filed Critical State Grid Shanghai Electric Power Co Ltd
Priority to CN201410401362.1A priority Critical patent/CN104156888A/en
Publication of CN104156888A publication Critical patent/CN104156888A/en
Pending legal-status Critical Current

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Abstract

The invention relates to a power system operation risk monitoring method based on a comprehensive risk evaluation model. The method comprises the following steps: (1) historical operation data of a power system is acquired; (2) a comprehensive risk evaluation model is constructed; (3) operation data of the power system is acquired online and in real time; (4) whether the current risk indicators of the power system are within a reasonable range is judged according to the comprehensive risk evaluation model and the online data acquired in step (3), the method returns to step (3) if the current risk indicators of the power system are within a reasonable range, or step (5) is performed; and (5) a risk warning is issued according to the judgment result of step (4), and corresponding risk control measures are output. Compared with the prior art, the power system operation risk monitoring method of the invention has the advantage that the work efficiency and the reliability of operation of the power system are improved.

Description

Electric system operations risks monitoring method based on Risk comprehensive evaluation
Technical field
The present invention relates to a kind of electric system risk monitoring method, especially relate to a kind of electric system operations risks monitoring method based on Risk comprehensive evaluation.
Background technology
Risk is present in each business activity of all trades and professions, therefore, carries out the attention that risk monitoring and control is more and more subject to different industries.In electric system, under the overall development target call of intelligent grid, the safe operation of electrical network is had higher requirement, in the urgent need to risk monitoring and control is applied to power industry.
In recent years, state's net " the last one three is excellent " strategic objective is firmly implemented in Shanghai Electric Power Co, carries out energetically intensivization development, the running that becomes more meticulous, standardized management management philosophy, carries out Research on Risk Management and practice simultaneously, and management level improve constantly.Along with the in-depth of Guo Wanghe company " three collection five are large ", " intelligent grid " strategic decision is implemented, some uncertain factors and unexpected incidents manifest unavoidably, therefore in professional domains such as safe mass, production & marketing, power network development, financial operation, human resources, power supply services, more or less there is some risk factors and accident potential.For company, be necessary to study a kind of effective electric system operations risks monitoring method.
Summary of the invention
Object of the present invention is exactly in order to overcome the defect that above-mentioned prior art exists, to provide a kind of to increase work efficiency and the electric system operations risks monitoring method based on Risk comprehensive evaluation of Operation of Electric Systems reliability.
Object of the present invention can be achieved through the following technical solutions:
An electric system operations risks monitoring method based on Risk comprehensive evaluation, comprises the following steps:
1) gather the historical data of electric system operation;
2) build Risk comprehensive evaluation;
3) operation data of online Real-time Obtaining electric system;
4) according to Risk comprehensive evaluation and step 3) online data that obtains, judge that the risk indicator of current power system, whether in zone of reasonableness, if so, returns to step 3), if not, perform step 5);
5) according to step 4) judged result send Risk-warning and export corresponding risk control measure.
Described Risk comprehensive evaluation comprises Data Input Interface, monitoring operation interaction platform, expert database and risk indicator storehouse, described monitoring operation interaction platform is connection data input interface, expert database and risk indicator storehouse respectively, and automatic early-warning is carried out in the online data that monitoring operation interaction platform obtains according to Data Input Interface, expert database and risk indicator storehouse.
Described monitoring operation interaction platform comprises that risk indicator early warning value arranges module, risk indicator computing module and automatic early-warning module.
Described risk indicator early warning value arranges in module, and the set-up mode of risk indicator early warning value comprises desired value mode or historical data statistical or empirical value setting means.
Described step 4), in, zone of reasonableness refers in the risk indicator early warning value interval of calculated risk indicator in arranging.
Described step 1), in, the mode that gathers the historical data of electric system operation comprises the automatic collection mode of historical data resource database and manual typing mode.
Compared with prior art, the present invention has the following advantages:
1) by building Risk comprehensive evaluation, according to the online data of Real-time Collection, index library information etc., the risk existing in the process of judgement operation in time, by monitoring, affect the risk indicator of KPI Key Performance Indicator, promotion company is efficient, high-quality operation, increase work efficiency and Operation of Electric Systems reliability, guarantee the realization of strategic objective.
2) Risk comprehensive evaluation that the present invention builds is comprehensive, and the risk in the time of can runing electric system is carried out effective evaluation, carries out in time Risk Pre-control measure, prevents that risk is converted into accident, has reduced maintenance cost.
Accompanying drawing explanation
Fig. 1 is schematic flow sheet of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.The present embodiment be take technical solution of the present invention and is implemented as prerequisite, provided detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
As shown in Figure 1, a kind of electric system operations risks monitoring method based on Risk comprehensive evaluation, comprises the following steps:
In step s101, gather the historical data of electric system operation, acquisition mode can be the automatic collection mode of historical data resource database, also can be by manual typing mode
In step s102, build Risk comprehensive evaluation, this Risk comprehensive evaluation comprises Data Input Interface, monitoring operation interaction platform, expert database and risk indicator storehouse, monitoring operation interaction platform is connection data input interface, expert database and risk indicator storehouse respectively, and automatic early-warning is carried out in the online data that monitoring operation interaction platform obtains according to Data Input Interface, expert database and risk indicator storehouse.Monitoring operation interaction platform comprises that risk indicator early warning value arranges module, risk indicator computing module and automatic early-warning module.
Risk indicator early warning value arranges in module, and the set-up mode of risk indicator early warning value comprises desired value mode or historical data statistical or empirical value setting means.Index in risk indicator storehouse comprises enterprise-level risk indicator, key risk index, operation flow risk indicator etc.
In step s103, the operation data of online Real-time Obtaining electric system.
In step s104, the online data obtaining according to Risk comprehensive evaluation and step s103, every risk indicator value in calculation risk index storehouse, and judge in conjunction with default risk indicator early warning value whether in the reasonable scope each risk indicator, if, return to step s103, if not, perform step s105.Zone of reasonableness refers in the risk indicator early warning value interval of calculated risk indicator in arranging.
In step s105, according to step 4) judged result send Risk-warning and export corresponding risk control measure.

Claims (6)

1. the electric system operations risks monitoring method based on Risk comprehensive evaluation, is characterized in that, comprises the following steps:
1) gather the historical data of electric system operation;
2) build Risk comprehensive evaluation;
3) operation data of online Real-time Obtaining electric system;
4) according to Risk comprehensive evaluation and step 3) online data that obtains, judge that the risk indicator of current power system, whether in zone of reasonableness, if so, returns to step 3), if not, perform step 5);
5) according to step 4) judged result send Risk-warning and export corresponding risk control measure.
2. a kind of electric system operations risks monitoring method based on Risk comprehensive evaluation according to claim 1, it is characterized in that, described Risk comprehensive evaluation comprises Data Input Interface, monitoring operation interaction platform, expert database and risk indicator storehouse, described monitoring operation interaction platform is connection data input interface, expert database and risk indicator storehouse respectively, and automatic early-warning is carried out in the online data that monitoring operation interaction platform obtains according to Data Input Interface, expert database and risk indicator storehouse.
3. a kind of electric system operations risks monitoring method based on Risk comprehensive evaluation according to claim 2, it is characterized in that, described monitoring operation interaction platform comprises that risk indicator early warning value arranges module, risk indicator computing module and automatic early-warning module.
4. a kind of electric system operations risks monitoring method based on Risk comprehensive evaluation according to claim 3, it is characterized in that, described risk indicator early warning value arranges in module, and the set-up mode of risk indicator early warning value comprises desired value mode or historical data statistical or empirical value setting means.
5. a kind of electric system operations risks monitoring method based on Risk comprehensive evaluation according to claim 3, it is characterized in that, described step 4), in, zone of reasonableness refers in the risk indicator early warning value interval of calculated risk indicator in arranging.
6. a kind of electric system operations risks monitoring method based on Risk comprehensive evaluation according to claim 1, it is characterized in that, described step 1), in, the mode that gathers the historical data of electric system operation comprises the automatic collection mode of historical data resource database and manual typing mode.
CN201410401362.1A 2014-08-14 2014-08-14 Power system operation risk monitoring method based on comprehensive risk evaluation model Pending CN104156888A (en)

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CN105787634A (en) * 2014-12-25 2016-07-20 中芯国际集成电路制造(上海)有限公司 Method and system for detecting abnormities of tool parts
RU2634169C1 (en) * 2016-12-07 2017-10-24 Акционерное общество "Концерн "Моринформсистема - Агат" Risk management modeling technique for information-management system at information-technical impacts conditions
CN107908638A (en) * 2017-09-26 2018-04-13 国网甘肃省电力公司 The operation of power networks efficiency rating method and system matched somebody with somebody are excavated based on big data
CN109186666A (en) * 2018-08-27 2019-01-11 日立楼宇技术(广州)有限公司 Detection method, device, computer equipment and the storage medium of equipment
CN109269556A (en) * 2018-09-06 2019-01-25 深圳市中电数通智慧安全科技股份有限公司 A kind of equipment Risk method for early warning, device, terminal device and storage medium

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105787634A (en) * 2014-12-25 2016-07-20 中芯国际集成电路制造(上海)有限公司 Method and system for detecting abnormities of tool parts
RU2634169C1 (en) * 2016-12-07 2017-10-24 Акционерное общество "Концерн "Моринформсистема - Агат" Risk management modeling technique for information-management system at information-technical impacts conditions
CN107908638A (en) * 2017-09-26 2018-04-13 国网甘肃省电力公司 The operation of power networks efficiency rating method and system matched somebody with somebody are excavated based on big data
CN109186666A (en) * 2018-08-27 2019-01-11 日立楼宇技术(广州)有限公司 Detection method, device, computer equipment and the storage medium of equipment
CN109269556A (en) * 2018-09-06 2019-01-25 深圳市中电数通智慧安全科技股份有限公司 A kind of equipment Risk method for early warning, device, terminal device and storage medium

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Application publication date: 20141119