CN103164775A - Automatic evaluation platform and method for power grid equipment status - Google Patents
Automatic evaluation platform and method for power grid equipment status Download PDFInfo
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- CN103164775A CN103164775A CN2013100881207A CN201310088120A CN103164775A CN 103164775 A CN103164775 A CN 103164775A CN 2013100881207 A CN2013100881207 A CN 2013100881207A CN 201310088120 A CN201310088120 A CN 201310088120A CN 103164775 A CN103164775 A CN 103164775A
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Abstract
The invention relates to the field of electric power system analysis and control, and particularly discloses an automatic evaluation platform and an automatic evaluation method for power grid equipment status. The automatic evaluation method includes: extracting monitoring data in real time on line; retrieving data which changes; finding out an equipment classification which power grid equipment which changes belongs to according to the data which changes; invoking an evaluation model for evaluating; and grading evaluation results, and proposing an overhaul proposal. The automatic evaluation platform and the automatic evaluation method for the power grid equipment status can comprehensively diagnose equipment insulation status according to various testing information and equipment operation status, provides decision support for fault locating and equipment overhauls, and can efficiently and accurately evaluate the power grid equipment status in real time.
Description
Technical field
The present invention relates to Power System Analysis and control field, relate in particular to a kind of grid equipment state automatic Evaluation platform and method.
Background technology
Repair based on condition of component (CBM) originates from the U.S. the earliest, after the nineties, begins to obtain practical application in the U.S., Germany, Britain and Japan and other countries electrical production.It comprises foreseeability maintenance (PDM), also comprises the repair based on condition of component (RCM) take reliability as core.At present, the America and Europe mainly takes the RCM pattern, the main points of this Implementation Modes are not only will in time grasp by state-detection the truth of equipment, and will consider that the fault of the importance of this equipment in system, this equipment to the influence degree of electric network reliability, formulates final turnaround plan.In other words, i.e. accident rate by device history and the equipment breakdown influence degree to overall grid, the weights of importance of decision device, and the bonding apparatus state evaluation is to determine the State Maintenance strategy.In the face of same defective the time, for the equipment that impact is large, importance is high, should pay the utmost attention to maintenance.And existing grid equipment state model evaluation method is when monitor equipment status, if wherein an equipment state changes, all devices all will re-start to estimate and process, and this processing mode efficient is too low.In addition, existing equipment state is mainly estimated by the staff, and the manual intervention composition is more, and standard differs, and easily causes careless omission, and difficult quality is controlled.
Summary of the invention
The object of the invention is to, propose a kind of grid equipment state automatic evaluation method, can be according to data message and the machine operation of multiple extraction, the apparatus insulated situation of comprehensive diagnos is for localization of fault and overhaul of the equipments provide decision support.
Another object of the present invention is to provide this grid equipment state automatic Evaluation platform, realizes the grid equipment state is carried out in real time, efficiently and accurately estimates.
For achieving the above object, the invention provides a kind of grid equipment state automatic evaluation method, comprise the steps:
The online Monitoring Data that extracts is in real time used high-performance computer system the data that on-line monitoring extracts is carried out Real Time Monitoring, and the data that described on-line monitoring extracts comprise original detailed data and statistic analysis result class data;
Retrieve the data that change, adopt the timing scan program that the data that extract are compared, determine the data that change;
Find out the corresponding device classification according to the data that change, call to comment from model and estimate, according to device type, data object and data dimension, by various combination conditions, Monitoring Data is inquired about and added up, determine that state changes after equipment, adopt the data analysis diagnosis of suitable computing method to obtaining, dissimilar equipment is adopted different analysis test and appraisal means, obtain evaluation result;
To the evaluation result deciding grade and level of marking;
Propose the maintenance suggestion, simulation expert failure diagnostic process is diagnosed equipment, and provides the maintenance suggestion.
Concrete, described on-line monitoring extracted data is distributed in ice covering monitoring system, lightning monitoring system, volcano and filthy monitoring system.
Concrete, described data at line extraction can be converted and make up.
Concrete, the data of described conversion and combination comprise that the temperature of dielectric loss and rate of change calculate.
In the present invention, the scope that the data of described extraction are compared comprises equipment account, device parameter, Gas in Oil of Transformer component concentration and SF6 micro-water content.
Concrete, the vertical comparative analysis of historical trend is carried out in described contrast when same equipment Inspection data, to carrying out the across comparison analysis between different checkout equipments.
Concrete, described computing method comprise one or more in TD figure method, three ratios, four ratios, immune algorithm, David's triangular plot method or three-dimensional icon method.
Concrete, that described scoring deciding grade and level is divided into is normal, attention, abnormal and serious level Four, carries out correspondence with red, yellow, blue and green four kinds of colors and identifies, and highlight and allow the user know in real time.
Concrete, described simulation expert fault diagnosis adopts the progressive mode of thinking of level.
In the present invention, a kind of platform of grid equipment state automatic evaluation method comprises the online monitoring data acquisition layer, the data application layer of carrying out data interaction with the online monitoring data acquisition layer, and the integrated layer that represents that carries out data interaction with data application layer; Described online monitoring data acquisition layer comprises data value converting unit, Data Format Transform unit and data integration unit; Described data application layer comprises the base application layer, and the integrated application layer that carries out data interaction with the base application layer; Described base application layer comprises Monitoring Data query unit, Report Server Management unit, standard management unit, Analysis on monitoring data unit and System Management Unit; Described integrated application comprises monitoring and warning unit, advanced analysis and applying unit; The described integrated layer that represents comprises that Monitoring Data release unit and Monitoring Data panorama represent the unit.
Beneficial effect of the present invention is: this platform device status data is mainly derived from the on-line monitoring platform, can guarantee the real-time of evaluating data; This platform is when monitoring device status data and change, just can call self a series of evaluation model it is estimated processing, treatment progress is only for the data that change, and when being different from other platform an equipment state changing therein, all devices account data all will be reappraised processing, so this platform has efficient data-handling capacity; This platforms through calculation machine is monitored marking with the on-line monitoring of science to equipment operating data, has guaranteed science, objectivity and the unitarity estimated.Evaluation method of the present invention can be according to multiple Test Information and machine operation, and the apparatus insulated situation of comprehensive diagnos is for localization of fault and overhaul of the equipments provide decision support.Failure cause and trouble location that the equipment that health status is obviously descended adopts the method for diagnosing status diagnostic device to exist are for fault handling or recovering state provide support.In addition, the present invention combines each technological means, be applied in the status of electric power analysis, inference mechanism is succinct, effectively, can simulate the expert and diagnose, have stronger fault-tolerant ability and default reasoning ability, in the incomplete situation of data message, also can carry out normal effectively work, avoided to greatest extent mistaken diagnosis and failed to pinpoint a disease in diagnosis.
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 is the schematic flow sheet of a kind of specific embodiment of evaluation method of the present invention.
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.
Embodiment one
As shown in Figure 1, the invention provides a kind of in real time, efficiently, grid equipment method for evaluating state accurately, comprise the steps:
Step a: the online Monitoring Data that extracts in real time, to use high-performance computer system the data that on-line monitoring extracts are carried out Real Time Monitoring, the data that described on-line monitoring extracts comprise original detailed data and statistic analysis result class data; Described on-line monitoring extracted data is distributed in ice covering monitoring system, lightning monitoring system, volcano and filthy monitoring system.Data at line extraction can be converted and make up, and the data of conversion and combination comprise that the temperature of dielectric loss and rate of change calculate.
Step b: retrieve the data that change, adopt the timing scan program that the data that extract are compared, determine the data that change; The scope that the data that extract are compared comprises equipment account, device parameter, Gas in Oil of Transformer component concentration and SF6 micro-water content.The vertical comparative analysis of historical trend is carried out in contrast when same equipment Inspection data, to carrying out the across comparison analysis between different checkout equipments.
Step c: find out the corresponding device classification according to the data that change, call to comment from model and estimate, according to device type, data object and data dimension, by various combination conditions, Monitoring Data is inquired about and added up, determine that state changes after equipment, adopt the data analysis diagnosis of suitable computing method to obtaining, dissimilar equipment is adopted different analysis test and appraisal means, obtain evaluation result; Described computing method comprise one or more in TD figure method, three ratios, four ratios, immune algorithm, David's triangular plot method or three-dimensional icon method.
Steps d: to the evaluation result deciding grade and level of marking; That scoring deciding grade and level is divided into is normal, attention, abnormal and serious level Four, carries out correspondence with red, yellow, blue and green four kinds of colors and identifies, and highlight and allow the user know in real time.
Step e: propose the maintenance suggestion, simulation expert failure diagnostic process is diagnosed equipment, and provides the maintenance suggestion, and simulation expert fault diagnosis adopts the progressive mode of thinking of level.
Embodiment two
The invention provides a kind of platform of grid equipment state automatic evaluation method, comprise the online monitoring data acquisition layer, the data application layer of carrying out data interaction with the online monitoring data acquisition layer, and the integrated layer that represents that carries out data interaction with data application layer; Described online monitoring data acquisition layer comprises data value converting unit, Data Format Transform unit and data integration unit; Described data application layer comprises the base application layer, and the integrated application layer that carries out data interaction with the base application layer; Described base application layer comprises Monitoring Data query unit, Report Server Management unit, standard management unit, Analysis on monitoring data unit and System Management Unit; Described integrated application comprises monitoring and warning unit, advanced analysis and applying unit; The described integrated layer that represents comprises that Monitoring Data release unit and Monitoring Data panorama represent the unit.Wherein, the data value converting unit be used for to same category of device not the status values of commensurate carry out that unit is unified to convert; The Data Format Transform unit is used for date format is changed, as 2012-3-2 being converted on March 2nd, 2012; The data integration unit is used for each state parameter numerical value calculating the basic data of grid equipment state evaluation according to statistical rules; The Monitoring Data query unit is used for inquiring the present health status of each equipment; The Report Server Management unit is for the graphical user interface that statistical report form is carried out unified management; The standard management unit is for the graphical user interface that each equipment state evaluation criterion is carried out unified management; The Analysis on monitoring data unit is used for providing the equipment state change curve, and each single device status data is carried out trend prediction; System Management Unit is used to the equipment state overhauling system that the platform base function management is provided, as user management, Role Management and rights management; The monitoring and warning unit is used for reminding user and when the equipment state evaluation result is the abnomal condition situation, this equipment is overhauled, and can identify this equipment by red or yellow two kinds of colors; Advanced analysis and applying unit are by one or more computing method in TD figure method, three ratios, four ratios, immune algorithm, David's triangular plot method or three-dimensional icon method, and simulation artificial intelligence is diagnosed the grid equipment state, and provide the maintenance suggestion; The Monitoring Data release unit is used for Monitoring Data is issued; The Monitoring Data panorama represents the unit and represents for Monitoring Data is carried out panorama, and the mode that represents can represent by figure, table.
In sum, this platform device status data is mainly derived from the on-line monitoring platform, can guarantee the real-time of evaluating data; This platform is when monitoring device status data and change, just can call self a series of evaluation model it is estimated processing, treatment progress is only for the data that change, and when being different from other platform an equipment state changing therein, all devices account data all will be reappraised processing, so this platform has efficient data-handling capacity; This platforms through calculation machine is monitored marking with the on-line monitoring of science to equipment operating data, has guaranteed science, objectivity and the unitarity estimated.Evaluation method of the present invention can be according to multiple Test Information and machine operation, and the apparatus insulated situation of comprehensive diagnos is for localization of fault and overhaul of the equipments provide decision support.Failure cause and trouble location that the equipment that health status is obviously descended adopts the method for diagnosing status diagnostic device to exist are for fault handling or recovering state provide support.Another the present invention combines each technological means, be applied in the status of electric power analysis, inference mechanism is succinct, effectively, can simulate the expert and diagnose, have stronger fault-tolerant ability and default reasoning ability, in the incomplete situation of data message, also can carry out normal effectively work, avoided to greatest extent mistaken diagnosis and failed to pinpoint a disease in diagnosis.
The above is only preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, is equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. a grid equipment state automatic evaluation method, is characterized in that, comprises the steps:
The online Monitoring Data that extracts is in real time used high-performance computer system the data that on-line monitoring extracts is carried out Real Time Monitoring, and the data that described on-line monitoring extracts comprise original detailed data and statistic analysis result class data;
Retrieve the data that change, adopt the timing scan program that the data that extract are compared, determine the data that change;
Find out the corresponding device classification according to the data that change, call to comment from model and estimate, according to device type, data object and data dimension, by various combination conditions, Monitoring Data is inquired about and added up, determine that state changes after equipment, adopt the data analysis diagnosis of suitable computing method to obtaining, dissimilar equipment is adopted different analysis test and appraisal means, obtain evaluation result;
To the evaluation result deciding grade and level of marking;
Propose the maintenance suggestion, simulation expert failure diagnostic process is diagnosed equipment, and provides the maintenance suggestion.
2. a kind of grid equipment state automatic evaluation method as claimed in claim 1, is characterized in that, described on-line monitoring extracted data is distributed in ice covering monitoring system, lightning monitoring system, volcano and filthy monitoring system.
3. a kind of grid equipment state automatic evaluation method as claimed in claim 1, is characterized in that, described data at line extraction are converted and make up.
4. a kind of grid equipment state automatic evaluation method as claimed in claim 3, is characterized in that, the data of described conversion and combination comprise that the temperature of dielectric loss and rate of change calculate.
5. a kind of grid equipment state automatic evaluation method as claimed in claim 1, is characterized in that, the scope that the data of described extraction are compared comprises equipment account, device parameter, Gas in Oil of Transformer component concentration and SF6 micro-water content.
6. a kind of grid equipment state automatic evaluation method as claimed in claim 1, is characterized in that, the vertical comparative analysis of historical trend is carried out in described contrast when same equipment Inspection data, to carrying out the across comparison analysis between different checkout equipments.
7. a kind of grid equipment state automatic evaluation method as claimed in claim 1, is characterized in that, described computing method comprise one or more in TD figure method, three ratios, four ratios, immune algorithm, David's triangular plot method or three-dimensional icon method.
8. a kind of grid equipment state automatic evaluation method as claimed in claim 1, it is characterized in that, that described scoring deciding grade and level is divided into is normal, attention, abnormal and serious level Four, carries out correspondence with red, yellow, blue and green four kinds of colors and identifies, and highlight and allow the user know in real time.
9. a kind of grid equipment state automatic evaluation method as claimed in claim 1, is characterized in that, described simulation expert fault diagnosis adopts the progressive mode of thinking of level.
10. platform based on a kind of grid equipment state automatic evaluation method claimed in claim 1, it is characterized in that, comprise the online monitoring data acquisition layer, the data application layer of carrying out data interaction with the online monitoring data acquisition layer, and the integrated layer that represents that carries out data interaction with data application layer; Described online monitoring data acquisition layer comprises data value converting unit, Data Format Transform unit and data integration unit; Described data application layer comprises the base application layer, and the integrated application layer that carries out data interaction with the base application layer; Described base application layer comprises Monitoring Data query unit, Report Server Management unit, standard management unit, Analysis on monitoring data unit and System Management Unit; Described integrated application comprises monitoring and warning unit, advanced analysis and applying unit; The described integrated layer that represents comprises that Monitoring Data release unit and Monitoring Data panorama represent the unit.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103336213A (en) * | 2013-07-06 | 2013-10-02 | 云南电力试验研究院（集团）有限公司电力研究院 | In-situ diagnostic method and device used for on-line monitoring of transformer substation |
| CN103559648A (en) * | 2013-10-30 | 2014-02-05 | 国家电网公司 | Grid equipment state inspection and evaluation training system |
| CN104281982A (en) * | 2014-10-08 | 2015-01-14 | 广东电网有限责任公司茂名供电局 | Substation equipment state evaluation method based on power grid topological structure |
| CN104751281A (en) * | 2015-03-27 | 2015-07-01 | 广西电网有限责任公司电力科学研究院 | Automatic working condition evaluation method for zinc oxide arrester equipment |
| CN105488270A (en) * | 2015-11-27 | 2016-04-13 | 国家电网公司 | Multiattribute comprehensive method for structural fault diagnosis of transformer |
| CN105678467A (en) * | 2016-01-15 | 2016-06-15 | 国家电网公司 | Regulation and control integrated data analysis and aid decision making system and method under ultrahigh-voltage alternating current and direct current networking |
| CN105973457A (en) * | 2016-04-28 | 2016-09-28 | 中国铁道科学研究院 | China railway high-speed train on-board stability monitoring device and method |
| CN108763304A (en) * | 2018-04-20 | 2018-11-06 | 国家电网有限公司 | A kind of electric power account data verification method and device based on genetic connection |
| CN108897070A (en) * | 2018-05-18 | 2018-11-27 | 云南电网有限责任公司电力科学研究院 | A kind of data collection system and device based on electric power line pole tower |
| CN109145045A (en) * | 2018-09-13 | 2019-01-04 | 广东电网有限责任公司 | Electric network operation data multidimensional degree analysis method and system based on artificial intelligence technology |
| CN109257206A (en) * | 2018-08-10 | 2019-01-22 | 南方电网科学研究院有限责任公司 | Data entry and diagnostic information evaluation feedback method |
| CN109784862A (en) * | 2019-01-18 | 2019-05-21 | 云南电网有限责任公司曲靖供电局 | Power equipment management system and equipment |
| CN114779151A (en) * | 2022-06-16 | 2022-07-22 | 北京电科智芯科技有限公司 | Comprehensive evaluation method, device, equipment and medium for capacitor voltage transformer |
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| CN102368634A (en) * | 2011-09-14 | 2012-03-07 | 文存润 | Unified information platform system for state monitoring of intelligent transformer substation |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103336213A (en) * | 2013-07-06 | 2013-10-02 | 云南电力试验研究院（集团）有限公司电力研究院 | In-situ diagnostic method and device used for on-line monitoring of transformer substation |
| CN103559648A (en) * | 2013-10-30 | 2014-02-05 | 国家电网公司 | Grid equipment state inspection and evaluation training system |
| CN104281982A (en) * | 2014-10-08 | 2015-01-14 | 广东电网有限责任公司茂名供电局 | Substation equipment state evaluation method based on power grid topological structure |
| CN104281982B (en) * | 2014-10-08 | 2018-08-07 | 广东电网有限责任公司茂名供电局 | A kind of transformer substation equipment state assessment method based on topological structure of electric |
| CN104751281B (en) * | 2015-03-27 | 2018-06-19 | 广西电网有限责任公司电力科学研究院 | A kind of automatic operating evaluation method of Zinc-Oxide Arrester equipment |
| CN104751281A (en) * | 2015-03-27 | 2015-07-01 | 广西电网有限责任公司电力科学研究院 | Automatic working condition evaluation method for zinc oxide arrester equipment |
| CN105488270A (en) * | 2015-11-27 | 2016-04-13 | 国家电网公司 | Multiattribute comprehensive method for structural fault diagnosis of transformer |
| CN105488270B (en) * | 2015-11-27 | 2018-06-01 | 国家电网公司 | A kind of more attribute synthesis methods of transformer device structure fault diagnosis |
| CN105678467A (en) * | 2016-01-15 | 2016-06-15 | 国家电网公司 | Regulation and control integrated data analysis and aid decision making system and method under ultrahigh-voltage alternating current and direct current networking |
| CN105973457A (en) * | 2016-04-28 | 2016-09-28 | 中国铁道科学研究院 | China railway high-speed train on-board stability monitoring device and method |
| CN108763304A (en) * | 2018-04-20 | 2018-11-06 | 国家电网有限公司 | A kind of electric power account data verification method and device based on genetic connection |
| CN108763304B (en) * | 2018-04-20 | 2020-12-29 | 国家电网有限公司 | Blood-cause relationship-based power standing book data verification method and device |
| CN108897070A (en) * | 2018-05-18 | 2018-11-27 | 云南电网有限责任公司电力科学研究院 | A kind of data collection system and device based on electric power line pole tower |
| CN109257206A (en) * | 2018-08-10 | 2019-01-22 | 南方电网科学研究院有限责任公司 | Data entry and diagnostic information evaluation feedback method |
| CN109145045A (en) * | 2018-09-13 | 2019-01-04 | 广东电网有限责任公司 | Electric network operation data multidimensional degree analysis method and system based on artificial intelligence technology |
| CN109784862A (en) * | 2019-01-18 | 2019-05-21 | 云南电网有限责任公司曲靖供电局 | Power equipment management system and equipment |
| CN109784862B (en) * | 2019-01-18 | 2023-04-18 | 云南电网有限责任公司曲靖供电局 | Power grid equipment management system and equipment |
| CN114779151A (en) * | 2022-06-16 | 2022-07-22 | 北京电科智芯科技有限公司 | Comprehensive evaluation method, device, equipment and medium for capacitor voltage transformer |
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Application publication date: 20130619 |