CN105652113A - Power grid equipment performance perception and evaluation method - Google Patents
Power grid equipment performance perception and evaluation method Download PDFInfo
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- CN105652113A CN105652113A CN201511003955.3A CN201511003955A CN105652113A CN 105652113 A CN105652113 A CN 105652113A CN 201511003955 A CN201511003955 A CN 201511003955A CN 105652113 A CN105652113 A CN 105652113A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention relates to a power grid equipment performance perception and evaluation method. Equipment state type information is determined through a typical abnormity and fault type in operation of transformer substation operation, and acquired information of each parameter in a power transmission line is acquired as a reference value of equipment output data. According to the actual condition and environment of the transformer substation, a transformer substation equipment sample database is established. Furthermore whether equipment performance abnormity occurs is determined according to acquired self-testing information for equipment state. The power grid equipment performance perception and evaluation method realizes simple operation and can monitor performance of the power grid equipment in time, thereby predicating fault information of faulted electrodes in advance, notifying personnel in time, shortening accident handling time, ensuring safe and reliable operation of the power grid and preventing power grid abnormities.
Description
Technical field
The present invention relates to grid equipment Performance Evaluation Technique field, be specifically related to a kind of grid equipment performance aware evaluation methodology.
Background technology
Along with China's power industry fast development, installed capacity in power grid quickly increases, and electrical network scale is with becoming to expanding, and also complicated therewith in structure, the method for operation is varied, and the warning message presenting to dispatcher also gets more and more. When electrical network is properly functioning, the warning information that power equipment produces also needs to artificial treatment, when the grid collapses, hundreds of warning message can at short notice on deliver to regulation and control center, these warning messages can not be carried out Correct Analysis and process by regulation and control person in very short time, it is impossible to make full use of fault message and find out region and the equipment that fault occurs. So there is fault message difficult judgment in existing dispatching of power netwoks warning system, artificial treatment labor intensity is big, accident treatment efficiency is low, the shortcoming affecting power grid security, reliability service.
Summary of the invention
It is an object of the invention to provide a kind of grid equipment performance aware evaluation methodology, the method can the performance information of grid equipment timely, with look-ahead fault point pole fault message, notify staff timely, shorten the accident treatment time, ensure power grid security reliability service.
For achieving the above object, present invention employs techniques below scheme:
A kind of grid equipment performance aware evaluation methodology
(1) equipment state type information is determined according to the typical case of intelligent substation equipment emerged in operation is abnormal with fault type;
(2) obtain the collection information of each parameter of transmission line of electricity, form graph data and Real-time Monitoring Data, and upload to element function Evaluation Platform;
(3) substation operation performance and transmission line of electricity runnability are carried out preliminary assessment by element function Evaluation Platform respectively, and this assessment result exports the reference value of data as equipment;
(4) according to the physical condition of transformer station and environment, it is determined that be capable of the information aggregate of on-line monitoring and as the status attribute information variable of equipment;
(5) set up substation equipment sample database, extract the corresponding equipment state type information of status attribute abnormal information and reference value information according to transformer station's history log, and set up mapping relations between the two;
(6) obtain equipment state self-inspection information, utilize the self-inspection information of substation equipment and the on-line monitoring information of equipment state to obtain equipment state self-inspection information;
(7) discretization obtains state attribute value, by the equipment state self-inspection information that monitors according to predetermined regular discrete, obtains and fixing specifies interval data;
(8) if these data are within the scope of equipment standard value, then equipment row performance is normal, and Performance Evaluation process terminates, and it is normal for passing judgment on runnability; Otherwise, for exception, then Performance Evaluation process needs time delay to observe, and time delay is determined by the latent fault phase of equipment observing time, and the equipment complex runnability appraisal procedure in time delay repeats above process.
As shown from the above technical solution, heretofore described grid equipment performance aware evaluation methodology, the performance information of grid equipment can be monitored timely, with look-ahead fault point pole fault message, timely notify staff, shorten the accident treatment time, ensure power grid security reliability service, it is to avoid electrical network generation abnormal conditions.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of grid equipment performance aware evaluation methodology of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention will be further described:
As it is shown in figure 1, the grid equipment performance aware evaluation methodology of the present embodiment, comprise the following steps:
S1: and fault type abnormal according to the typical case of intelligent substation equipment emerged in operation determines equipment state type information;
S2: obtain the collection information of each parameter of transmission line of electricity, forms graph data and Real-time Monitoring Data, and uploads to element function Evaluation Platform;
S3: substation operation performance and transmission line of electricity runnability are carried out preliminary assessment by element function Evaluation Platform respectively, and this assessment result exports the reference value of data as equipment;
S4: according to the physical condition of transformer station and environment, it is determined that be capable of the information aggregate of on-line monitoring and as the status attribute information variable of equipment;
S5: set up substation equipment sample database, extracts the corresponding equipment state type information of status attribute abnormal information and reference value information, and sets up mapping relations between the two according to transformer station's history log;
S6: obtain equipment state self-inspection information, utilize the self-inspection information of substation equipment and the on-line monitoring information of equipment state to obtain equipment state self-inspection information;
S7: discretization obtains state attribute value, by the equipment state self-inspection information that monitors according to predetermined regular discrete, obtains and fixing specifies interval data;
S8: if these data are within the scope of equipment standard value, then equipment row performance is normal, and Performance Evaluation process terminates, and it is normal for passing judgment on runnability; Otherwise, for exception, then Performance Evaluation process needs time delay to observe, and time delay is determined by the latent fault phase of equipment observing time, and the equipment complex runnability appraisal procedure in time delay repeats above process.
Embodiment described above is only that the preferred embodiment of the present invention is described; not the scope of the present invention is defined; under the premise designing spirit without departing from the present invention; various deformation that technical scheme is made by those of ordinary skill in the art and improvement, all should fall in the protection domain that claims of the present invention is determined.
Claims (1)
1. a grid equipment performance aware evaluation methodology, it is characterised in that comprise the following steps:
(1) equipment state type information is determined according to the typical case of intelligent substation equipment emerged in operation is abnormal with fault type;
(2) obtain the collection information of each parameter of transmission line of electricity, form graph data and Real-time Monitoring Data, and upload to element function Evaluation Platform;
(3) substation operation performance and transmission line of electricity runnability are carried out preliminary assessment by element function Evaluation Platform respectively, and this assessment result exports the reference value of data as equipment;
(4) according to the physical condition of transformer station and environment, it is determined that be capable of the information aggregate of on-line monitoring and as the status attribute information variable of equipment;
(5) set up substation equipment sample database, extract the corresponding equipment state type information of status attribute abnormal information and reference value information according to transformer station's history log, and set up mapping relations between the two;
(6) obtain equipment state self-inspection information, utilize the self-inspection information of substation equipment and the on-line monitoring information of equipment state to obtain equipment state self-inspection information;
(7) discretization obtains state attribute value, by the equipment state self-inspection information that monitors according to predetermined regular discrete, obtains and fixing specifies interval data;
(8) if these data are within the scope of equipment standard value, then equipment row performance is normal, and Performance Evaluation process terminates, and it is normal for passing judgment on runnability; Otherwise, for exception, then Performance Evaluation process needs time delay to observe, and time delay is determined by the latent fault phase of equipment observing time, and the equipment complex runnability appraisal procedure in time delay repeats above process.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511003955.3A CN105652113A (en) | 2015-12-29 | 2015-12-29 | Power grid equipment performance perception and evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201511003955.3A CN105652113A (en) | 2015-12-29 | 2015-12-29 | Power grid equipment performance perception and evaluation method |
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| Publication Number | Publication Date |
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| CN105652113A true CN105652113A (en) | 2016-06-08 |
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| CN201511003955.3A Pending CN105652113A (en) | 2015-12-29 | 2015-12-29 | Power grid equipment performance perception and evaluation method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108319568A (en) * | 2018-03-06 | 2018-07-24 | 江苏中科瀚星数据科技有限公司 | A kind of method of equipment state abnormal problem positioning |
| CN111639141A (en) * | 2020-05-26 | 2020-09-08 | 李云祥 | Data testing method and device and computer terminal |
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|---|---|---|---|---|
| CN102590652A (en) * | 2012-01-10 | 2012-07-18 | 山东电力研究院 | Electric-information-based equipment performance evaluation system and method |
| CN103454516A (en) * | 2013-05-06 | 2013-12-18 | 国家电网公司 | Intelligent transformer substation secondary equipment health state diagnosis method |
| CN103675598A (en) * | 2012-09-17 | 2014-03-26 | 华北电力大学 | Grid fault diagnosis result display method of linkage video monitoring system |
| WO2014127046A1 (en) * | 2013-02-12 | 2014-08-21 | Headsight, Inc. | Diagnostic system for a controller |
| CN105093033A (en) * | 2015-09-01 | 2015-11-25 | 华中电网有限公司 | Power grid multi-source information-based fault integrated analysis system and analysis method |
-
2015
- 2015-12-29 CN CN201511003955.3A patent/CN105652113A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102590652A (en) * | 2012-01-10 | 2012-07-18 | 山东电力研究院 | Electric-information-based equipment performance evaluation system and method |
| CN103675598A (en) * | 2012-09-17 | 2014-03-26 | 华北电力大学 | Grid fault diagnosis result display method of linkage video monitoring system |
| WO2014127046A1 (en) * | 2013-02-12 | 2014-08-21 | Headsight, Inc. | Diagnostic system for a controller |
| CN103454516A (en) * | 2013-05-06 | 2013-12-18 | 国家电网公司 | Intelligent transformer substation secondary equipment health state diagnosis method |
| CN105093033A (en) * | 2015-09-01 | 2015-11-25 | 华中电网有限公司 | Power grid multi-source information-based fault integrated analysis system and analysis method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108319568A (en) * | 2018-03-06 | 2018-07-24 | 江苏中科瀚星数据科技有限公司 | A kind of method of equipment state abnormal problem positioning |
| CN108319568B (en) * | 2018-03-06 | 2021-08-06 | 江苏中科瀚星数据科技有限公司 | Method for positioning abnormal equipment state problem |
| CN111639141A (en) * | 2020-05-26 | 2020-09-08 | 李云祥 | Data testing method and device and computer terminal |
| CN111639141B (en) * | 2020-05-26 | 2023-08-15 | 湖北华中电力科技开发有限责任公司 | Data testing method and device and computer terminal |
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Application publication date: 20160608 |