CN103150633A - Power equipment state real-time evaluation and auxiliary decision-making system - Google Patents

Power equipment state real-time evaluation and auxiliary decision-making system Download PDF

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Publication number
CN103150633A
CN103150633A CN2013100859699A CN201310085969A CN103150633A CN 103150633 A CN103150633 A CN 103150633A CN 2013100859699 A CN2013100859699 A CN 2013100859699A CN 201310085969 A CN201310085969 A CN 201310085969A CN 103150633 A CN103150633 A CN 103150633A
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unit
making
aid decision
maintenance
fault diagnosis
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CN2013100859699A
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Chinese (zh)
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CN103150633B (en
Inventor
冯彦钊
周海
沈龙
蒋石林
孙北宁
杨晴
段勇
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云南电网公司
昆明能讯科技有限责任公司
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Abstract

The invention discloses a power equipment state real-time evaluation and auxiliary decision-making system which comprises a diagnosis model, an auxiliary decision-making system and a display module; the diagnosis model and the auxiliary decision-making system are associated; the display module is respectively associated with the diagnosis model and the auxiliary decision-making system; the diagnosis model comprises a fault diagnosis method unit, a fault diagnosis data unit and a data management unit; the fault diagnosis method unit is associated with the fault diagnosis data unit; and the fault diagnosis method unit and the fault diagnosis data unit are stored in the data management unit. According to the power equipment state real-time evaluation and auxiliary decision-making system, different testing methods are adopted for different equipment, so that fault parts are positioned precisely; the states of power equipment are accurately displayed by setting different risk weight; and the overhaul order of overhaul items is optimized through an auxiliary strategy unit, so that the overhaul efficiency is improved, and the risk rate of a power system is greatly reduced.

Description

Status of electric power real-time assessment and aid decision-making system

Technical field

The present invention relates to power equipment and assist the field, refer to especially a kind of status of electric power real-time assessment and aid decision-making system.

Background technology

Prior art is applied to state estimation and the maintenance policy system of power equipment, is generally by the status information of equipment amount is monitored, and quantity of information is carried out data process; By each equipment is carried out weight setting, to obtain more rough appraisal report, and carry out the prompting of maintenance policy for the problem that occurs, but can not accurately locate the fault of power equipment, and the not clear and definite order of processing sequence to the parts that go wrong, when the problem of processing urgent and vitals, its impact is especially obvious.

Summary of the invention

Status of electric power real-time assessment and aid decision-making system that the present invention proposes can carry out equipment fault diagnosis, Real Time Monitoring and set risk class power equipment, greatly improve the practicality of decision system.

Technical scheme of the present invention is achieved in that status of electric power real-time assessment and aid decision-making system, comprise diagnostic model, aid decision-making system and display module, it is related that described diagnostic model and aid decision-making system carry out, and described display module carries out related with diagnostic model and aid decision-making system respectively; Described diagnostic model comprises method for diagnosing faults unit, fault diagnosis data cell and Data Management Unit, described method for diagnosing faults unit is related with the fault diagnosis data cell, and described method for diagnosing faults unit and fault diagnosis data cell are stored in Data Management Unit.

Described method for diagnosing faults unit comprises that three-ratio method, four ratioing technigues, TD figure method, David's trigonometry, electricity grind method.

Described aid decision-making system comprises risk evaluation model and Strategies of Maintenance model, and described risk evaluation model shines upon related with the Strategies of Maintenance model by middle table.

Further, it is related that described method for diagnosing faults unit and fault diagnosis data cell are shone upon by middle table, and be stored in Data Management Unit.

Further, described risk evaluation model comprises classification determining unit, extent of damage determining unit, data processing unit, and described data processing unit connects respectively classification determining unit and extent of damage determining unit.

Described Strategies of Maintenance model comprises maintenance order unit, overhauling project unit, maintenance level cells and auxiliary policy unit, and described auxiliary policy unit connects respectively maintenance order unit, overhauling project unit and maintenance level cells.

Described risk evaluation model is related with display module respectively with the Strategies of Maintenance model.

Optimally, described display module is LCDs.

Status of electric power real-time assessment provided by the invention and aid decision-making system adopt different detection methods for distinct device, accurately locate trouble location; By setting different Risk rated ratios, show accurately the state of power equipment; By the maintenance order of auxiliary policy unit Optimal Maintenance project, improve overhaul efficiency, greatly reduce the relative risk of electric system.

Description of drawings

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or description of the Prior Art, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.

Fig. 1: structured flowchart of the present invention;

In figure: 100, diagnostic model; 110, method for diagnosing faults unit; 120, fault diagnosis data cell; 130, Data Management Unit; 200, aid decision-making system; 210, risk evaluation model; 211, classification determining unit; 212, extent of damage determining unit; 213, data processing unit; 220, Strategies of Maintenance model; 221, repair the order unit; 222, overhauling project unit; 223, maintenance level cells; 224, auxiliary policy unit; 300, display module.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Based on the embodiment in the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.

Status of electric power real-time assessment and aid decision-making system, comprise diagnostic model 100, aid decision-making system 200 and display module 300, it is related that described diagnostic model 100 and aid decision-making system 200 carry out, and described display module 300 carries out related with diagnostic model 100 and aid decision-making system 200 respectively; Described diagnostic model 100 comprises method for diagnosing faults unit 110, fault diagnosis data cell 120 and Data Management Unit 130, described method for diagnosing faults unit 110 is related with fault diagnosis data cell 120, and described method for diagnosing faults unit 110 and fault diagnosis data cell 120 are stored in Data Management Unit 130.

Described method for diagnosing faults unit 110 comprises that three-ratio method, four ratioing technigues, TD figure method, David's trigonometry, electricity grind method.

Described aid decision-making system 200 comprises risk evaluation model 210 and Strategies of Maintenance model 220, and described risk evaluation model 210 shines upon related with Strategies of Maintenance model 220 by middle table.

Further, it is related that described method for diagnosing faults unit 110 and fault diagnosis data cell 120 are shone upon by middle table, and be stored in Data Management Unit 130.

Further, described risk evaluation model 210 comprises classification determining unit 211, extent of damage determining unit 212, data processing unit 213, and described data processing unit 213 connects respectively classification determining unit 211 and extent of damage determining unit 212.

Described Strategies of Maintenance model 220 comprises maintenance order unit 221, overhauling project unit 222, maintenance level cells 223 and auxiliary policy unit 224, and described auxiliary policy unit 224 connects respectively maintenance order unit 221, overhauling project unit 222 and overhauls level cells 223.

Described risk evaluation model 210 is related with display module 300 respectively with Strategies of Maintenance model 220.

Optimally, described display module 300 is LCDs.

Equipment fault diagnosis is adopted different diagnostic models 100 to distinct device, and system can adopt suitable algorithm to carry out fault diagnosis automatically, determines the reason of device fails.

Be diagnosed as example with the transformer oil chromatographic data fault, method for diagnosing faults unit 110 comprises that three-ratio method, four ratioing technigues, electricity grind method, TD figure method, David's triangular plot method, by analyzing, reasoning and judging is carried out in equipment failure.

Data Management Unit 130 is with fault diagnosis data cell 120, and namely the oil chromatography data can be shone upon association to equipment according to diagnostic method, carries out simultaneously fault diagnosis, can satisfy the expansion of similar diagnostic method in the future, the flexible configuration diagnostic data.

Simultaneously, Data Management Unit 130 records the diagnostic message of current device, as historical diagnostic message after system is to equipment oil chromatography data analysis and after the health status of diagnostic device, understand failure cause and the position of equipment for the overhaul of the equipments personnel, and other modules provide data basic.

The oil chromatography fault diagnosis algorithm is: V=G/X, wherein V is the value that specific algorithm need to obtain, G is certain gas value, X may be certain gas value, also may for the multiple gases value and, depending on specific algorithm.The value of gas is collected by on-line monitoring equipment.

Three-ratio method is three correlative values of utilizing five kinds of characteristic gas, judges the method for transformer fault character.Its five kinds of characteristic gas that relate to are hydrogen (H2), methane (CH4), acetylene (C2H2), ethene (C2H4), ethane (C2H6), and three correlative values are respectively C2H2/C2H4, C2H4/H2 and C2H4/C2H6.

Attention: its precondition is to have gas content to exceed standard, and thinks namely that equipment exists under failure condition just can judge, various gas datas all judge nonsensical with this method in normal situation; And this method can only judge single failure, can't judge the various faults synergy.The fault table of comparisons is as follows:

Four ratioing technigues are a kind of a kind of ratio in judgement methods that Germany adopts, and the fault table of comparisons is as follows:

The electricity method of grinding is a kind of three-ratio method of improvement, and the fault table of comparisons is as follows:

TD figure method is to utilize the method for the another kind of failure judgement type of three correlative values, determines the equipment failure type by the mode of code check table equally, and the fault table of comparisons is as follows:

C2H2/C2H4 CH4/H2 C2H4/C2H6 Characteristic fault Situation NS① <0.1 <0.2 Shelf depreciation (see and annotate 3) PD >1 0.1~0.5 >1 Low-yield shelf depreciation U1 0.6~2.5 0.1~1 >2 The high-energy shelf depreciation D2 NS① >1 <1 Hot stall t<300 ℃ T1 <0.1 >1 1~4 300 ℃<t of hot stall<700 ℃ T2 <0.2② >1 >4 Hot stall t〉700 ℃ T3

David's triangular plot method is recently carried out the fault judgement by three kinds of shared percentages of gas, and judgment mode is as follows:

By three-ratio method, four ratioing technigues, electricity being ground after method, TD figure method, David's triangular plot method analyze, can find out that its major way is all to get Gas Ratio and scope thereof, the difference of Gas Ratio scope, draw different diagnosises, can expand similar algorithm in order to satisfy system, in whole system, the realization of flexible configuration, adopt the mode configuration relation of middle table, be used for processing flexibly dynamic expansion table and field, conveniently carry out the expansion of function.

Aid decision-making system 200 comprises risk evaluation model 210 and Strategies of Maintenance model 220, and described risk evaluation model 210 shines upon related with Strategies of Maintenance model 220 by middle table.

By the evaluation of equipment state and the fault diagnosis of defective mode equipment, the inherent vice that identification equipment is potential and outside threat, analytical equipment lost efficacy the loss of assets degree that threatens and the probability of happening of threat, draw the risk class of equipment in electrical network by the risk assessment algorithm, and then the formulation of support equipment Strategies of Maintenance, risk evaluation model 210 comprises classification determining unit 211, extent of damage determining unit 212, data processing unit 213;

Classification determining unit 211 is determined the classification grade of equipment aspect three of residing important level electrical network from the value of equipment self, power devices user's important level and equipment.

Extent of damage determining unit 212 by the factor of associate device and defective or threat, is calculated from aspects such as security, reliability, cost and social influences and is threatened the extent of damage that causes.

Data processing unit 213, the factor of the probability three aspects: of integrated asset classification, loss of assets degree and generation, the computing formula of value-at-risk is: R (t)=(At) * F (t) * P (t), wherein: t-sometime, A-assets, F-loss of assets degree, P-equipment failure rate, R-equipment Risk value;

Risk evaluation model 210 is mainly the computing formula by equipment Risk, obtains the value-at-risk of current device, offering the formulation of Tactial problem, and the related display module 300 of risk evaluation model 210.

Strategies of Maintenance model 220 follows that the equipment state evaluation result is poorer, equipment Risk grade the give priority in arranging for principle of maintenance of Gao Zeyue more, sets up to consider the two-dimentional relation model that equipment state evaluation result and equipment Risk are estimated, and sets correlation parameter.

Strategies of Maintenance model 220 comprises maintenance order unit 221, overhauling project unit 222, maintenance level cells 223 and auxiliary policy unit 224, and described auxiliary policy unit 224 connects respectively maintenance order unit 221, overhauling project unit 222 and overhauls level cells 223.

The a certain zone of analytical calculation overhaul of the equipments priority at different levels index proposes overhaul of the equipments order, maintenance rank, repair time, and according to A, B, C, D, the concrete overhauling project of E echelon maintenance standard.

The present invention defines different diagnostic methods according to device class;

Define diagnostic model 100 according to different diagnostic methods, as the ratio of hydrogen and methane, the ratio of methane in all gas etc.;

Define diagnosis according to diagnostic method again, define the scope of diagnostic model 100 by diagnosis and diagnostic model 100;

It is the diagnostic result of equipment that the numerical value that at last diagnostic model 100 is generated and diagnosis preserve.

Wherein all adopt the mode configuration association relation of middle table.

Status of electric power real-time assessment provided by the invention and aid decision-making system adopt different detection methods for distinct device, accurately locate trouble location; By setting different Risk rated ratios, show accurately the state of power equipment; By the maintenance order of auxiliary policy unit 224 Optimal Maintenance projects, improve overhaul efficiency, greatly reduce the relative risk of electric system.

Certainly; in the situation that do not deviate from spirit of the present invention and essence thereof; those of ordinary skill in the art should make according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to the protection domain of the appended claim of the present invention.

Claims (8)

1. status of electric power real-time assessment and aid decision-making system, it is characterized in that: comprise diagnostic model (100), aid decision-making system (200) and display module (300), it is related that described diagnostic model (100) and aid decision-making system (200) carry out, and described display module (300) carries out related with diagnostic model (100) and aid decision-making system (200) respectively; Described diagnostic model (100) comprises method for diagnosing faults unit (110), fault diagnosis data cell (120) and Data Management Unit (130), described method for diagnosing faults unit (110) is related with fault diagnosis data cell (120), and described method for diagnosing faults unit (110) and fault diagnosis data cell (120) are stored in Data Management Unit (130).
2. status of electric power real-time assessment according to claim 1 and aid decision-making system, it is characterized in that: described method for diagnosing faults unit (110) comprises that three-ratio method, four ratioing technigues, TD figure method, David's trigonometry, electricity grind method.
3. status of electric power real-time assessment according to claim 1 and aid decision-making system, it is characterized in that: described aid decision-making system (200) comprises risk evaluation model (210) and Strategies of Maintenance model (220), and described risk evaluation model (210) shines upon related with Strategies of Maintenance model (220) by middle table.
4. status of electric power real-time assessment according to claim 1 and aid decision-making system, it is characterized in that: described method for diagnosing faults unit (110) and fault diagnosis data cell (120) are shone upon related by middle table, and are stored in Data Management Unit (130).
5. status of electric power real-time assessment according to claim 3 and aid decision-making system, it is characterized in that: described risk evaluation model (210) comprises classification determining unit (211), extent of damage determining unit (212), data processing unit (213), and described data processing unit (213) connects respectively classification determining unit (211) and extent of damage determining unit (212).
6. status of electric power real-time assessment according to claim 3 and aid decision-making system, it is characterized in that: described Strategies of Maintenance model (220) comprises maintenance order unit (221), overhauling project unit (222), maintenance level cells (223) and auxiliary policy unit (224), and described auxiliary policy unit (224) connects respectively overhauls order unit (221), overhauling project unit (222) and overhauls level cells (223).
7. status of electric power real-time assessment according to claim 1 and aid decision-making system, it is characterized in that: described risk evaluation model (210) is related with display module (300) respectively with Strategies of Maintenance model (220).
8. status of electric power real-time assessment according to claim 1 and aid decision-making system is characterized in that: described display module (300) is LCDs.
CN201310085969.9A 2013-03-18 2013-03-18 Power equipment state real-time evaluation and auxiliary decision-making system CN103150633B (en)

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Cited By (9)

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Publication number Priority date Publication date Assignee Title
CN103679547A (en) * 2013-11-29 2014-03-26 国家电网公司 Optimization method for missed steps of relay protection
CN104267270A (en) * 2014-08-06 2015-01-07 中国南方电网有限责任公司超高压输电公司检修试验中心 Transformer key parameter extraction method based on vector similarity
CN104573845A (en) * 2014-12-03 2015-04-29 国家电网公司 Auxiliary decision-making method for equipment state maintenance of information system
AT515033A1 (en) * 2013-10-23 2015-05-15 Ge Jenbacher Gmbh & Co Og Method for operating a power plant connected to a power supply network
CN105469186A (en) * 2014-11-28 2016-04-06 上海核工程研究设计院 Risk monitoring system capable of realizing self-monitoring and self-monitoring method
CN106204330A (en) * 2016-07-18 2016-12-07 国网山东省电力公司济南市历城区供电公司 A kind of power distribution network intelligent diagnosis system
CN106652254A (en) * 2016-12-02 2017-05-10 深圳怡化电脑股份有限公司 Method and device for excluding failures of self service terminals
CN106682081A (en) * 2016-11-23 2017-05-17 云南电网有限责任公司电力科学研究院 Multi-model based comprehensive transformer performance analysis system
CN109978500A (en) * 2019-03-20 2019-07-05 武汉瑞莱保能源技术有限公司 A kind of nuclear power station power loss trial system

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CN101887547A (en) * 2010-06-30 2010-11-17 广西电网公司电力科学研究院 Assistant decision system for condition-based maintenance and risk evaluation of power transmission and transformation equipment
CN102545381A (en) * 2010-12-29 2012-07-04 云南电力试验研究院(集团)有限公司 Data analysis center system for technical supervision of power grid equipment

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CN101859409A (en) * 2010-05-25 2010-10-13 广西电网公司电力科学研究院 Power transmission and transformation equipment state overhauling system based on risk evaluation
CN101887547A (en) * 2010-06-30 2010-11-17 广西电网公司电力科学研究院 Assistant decision system for condition-based maintenance and risk evaluation of power transmission and transformation equipment
CN102545381A (en) * 2010-12-29 2012-07-04 云南电力试验研究院(集团)有限公司 Data analysis center system for technical supervision of power grid equipment

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9739839B2 (en) 2013-10-23 2017-08-22 Ge Jenbacher Gmbh & Co Og Method of operating a stationary electrical power plant connected to a power supply network
AT515033B1 (en) * 2013-10-23 2020-02-15 Innio Jenbacher Gmbh & Co Og Method for operating a power plant connected to an energy supply network
AT515033A1 (en) * 2013-10-23 2015-05-15 Ge Jenbacher Gmbh & Co Og Method for operating a power plant connected to a power supply network
CN103679547B (en) * 2013-11-29 2017-02-22 国家电网公司 Optimization method for missed steps of relay protection
CN103679547A (en) * 2013-11-29 2014-03-26 国家电网公司 Optimization method for missed steps of relay protection
CN104267270B (en) * 2014-08-06 2017-04-05 中国南方电网有限责任公司超高压输电公司检修试验中心 Transformer key parameters extracting method based on vector similitude
CN104267270A (en) * 2014-08-06 2015-01-07 中国南方电网有限责任公司超高压输电公司检修试验中心 Transformer key parameter extraction method based on vector similarity
CN105469186A (en) * 2014-11-28 2016-04-06 上海核工程研究设计院 Risk monitoring system capable of realizing self-monitoring and self-monitoring method
CN104573845B (en) * 2014-12-03 2018-07-27 国家电网公司 Information system equipment state overhauling aid decision-making method
CN104573845A (en) * 2014-12-03 2015-04-29 国家电网公司 Auxiliary decision-making method for equipment state maintenance of information system
CN106204330A (en) * 2016-07-18 2016-12-07 国网山东省电力公司济南市历城区供电公司 A kind of power distribution network intelligent diagnosis system
CN106682081A (en) * 2016-11-23 2017-05-17 云南电网有限责任公司电力科学研究院 Multi-model based comprehensive transformer performance analysis system
CN106652254A (en) * 2016-12-02 2017-05-10 深圳怡化电脑股份有限公司 Method and device for excluding failures of self service terminals
CN109978500A (en) * 2019-03-20 2019-07-05 武汉瑞莱保能源技术有限公司 A kind of nuclear power station power loss trial system

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