CN103729495A - Power system simulation model recommendation method - Google Patents
Power system simulation model recommendation method Download PDFInfo
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- CN103729495A CN103729495A CN201310581220.3A CN201310581220A CN103729495A CN 103729495 A CN103729495 A CN 103729495A CN 201310581220 A CN201310581220 A CN 201310581220A CN 103729495 A CN103729495 A CN 103729495A
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Abstract
The invention discloses a power system simulation model recommendation method. A simulation modeling rule base is analyzed and summarized by establishing a simulation modeling information base, feature information including parameters, association rules among elements and the like are recorded in the rule base, and a next-operation element selection recommendation with high possibility is given by selecting the parameters and the elements for user's modeling according to the associated information in the rule base in the modeling process. The modeling accuracy is improved, the modeling experience is improved, and the simulation modeling efficiency is improved.
Description
Technical field
The present invention relates to electric system simulation application, be specially a kind of electric system simulation model recommend method.
Background technology
Along with the raising of power automation level, power system simulation software plays an important role in the design of electric system, operation and control.But the many personal experiences according to modeling personnel of current all kinds of electric system simulation model process of establishing, replicability is poor, and this method will record modeling experience, to improve the accuracy of modeling, improve modeling and will experience, improves simulation modeling efficiency.
Summary of the invention
The object of this invention is to provide a kind of electric system simulation model recommend method, to overcome above-mentioned the deficiencies in the prior art.
In order to achieve the above object, the technical solution adopted in the present invention is:
Electric system simulation model recommend method, it is characterized in that: build simulation modeling information bank, analytic induction goes out the rule base of simulation modeling, described rule base has recorded and has comprised each parameter and interelement correlation rule at interior characteristic information, in modeling process, parameter and element by user modeling are selected, and provide next step operation element that possibility is high select to recommend according to the related information in rule base.
Described electric system simulation model recommend method, is characterized in that: by extracting, filling, change, reprint operation, the integrated realistic model data of leaving over, new emulation Web application, the realistic model data that APP application produces, build realistic model information bank.
Described electric system simulation model recommend method, it is characterized in that: for realistic model information bank, application class, the large data analysis technique of correlation rule, produce the correlation rule information about model element and parameter, in conjunction with simulation result evaluation, set up artificial intelligence correlation rule storehouse.
Described electric system simulation model recommend method, it is characterized in that: set up rule search engine, in the process of simulation modeling, can start automatically rule search engine, in the selection course of simulation model element and parameter, rule search engine is in connection with the selection having produced, at model rule base, selected in the past evaluate, recommendation element and parameter that feasibility is high.
Described electric system simulation model recommend method, is characterized in that: recommend the last model information producing of modeling, will deposit realistic model information bank in, think that the model rule base of enriching constantly offers help.
The present invention is by building simulation modeling information bank, analytic induction goes out the rule base of simulation modeling, this rule base has recorded the previously characteristic information such as each parameter and interelement correlation rule, in modeling process, the element producing in conjunction with user and parameter are selected, according to the related information in rule base, provide next step operation element that possibility is high and select to recommend, thereby the accuracy of raising modeling improves modeling and experiences, improves simulation modeling efficiency.
Compared with prior art, tool has the following advantages in the present invention:
(1), build realistic model rule base, record is the empirical features data of realistic model previously;
(2), in modeling process, by search mechanisms, provide the reference information of emulation element, improve modeling and experience, improve simulation efficiency.
Accompanying drawing explanation
Fig. 1 is FB(flow block) of the present invention.
Embodiment
As shown in Figure 1.A kind of electric system simulation model recommend method, build simulation modeling information bank, analytic induction goes out the rule base of simulation modeling, this rule base has recorded the characteristic informations such as each parameter and interelement correlation rule, in modeling process, parameter and element by user modeling are selected, and provide next step operation element that possibility is high select to recommend according to the related information in rule base.
By ETL(, extract, fill and change, reprint) operation, the realistic model data that the integrated realistic model data of leaving over, new emulation Web application, APP application etc. produce, build realistic model information bank.
For realistic model information bank, the large data analysis technique such as application class, correlation rule, produces the correlation rule information about model element and parameter, in conjunction with simulation result evaluation, sets up artificial intelligence correlation rule storehouse.
Set up rule search engine, in the process of simulation modeling, can start automatically rule search engine, in the selection course of simulation model element and parameter, rule search engine is in connection with the selection having produced, at model rule base, selected in the past evaluate, recommendation element and parameter that feasibility is high.
Recommend the last model information producing of modeling, will deposit realistic model information bank in, think that the model rule base of enriching constantly offers help.
Claims (5)
1. electric system simulation model recommend method, it is characterized in that: build simulation modeling information bank, analytic induction goes out the rule base of simulation modeling, described rule base has recorded and has comprised each parameter and interelement correlation rule at interior characteristic information, in modeling process, parameter and element by user modeling are selected, and provide next step operation element that possibility is high select to recommend according to the related information in rule base.
2. electric system simulation model recommend method according to claim 1, it is characterized in that: by extracting, filling, change, reprint operation, the integrated realistic model data of leaving over, new emulation Web application, the realistic model data that APP application produces, build realistic model information bank.
3. electric system simulation model recommend method according to claim 1, it is characterized in that: for realistic model information bank, application class, the large data analysis technique of correlation rule, produce the correlation rule information about model element and parameter, in conjunction with simulation result evaluation, set up artificial intelligence correlation rule storehouse.
4. electric system simulation model recommend method according to claim 1, it is characterized in that: set up rule search engine, in the process of simulation modeling, can start automatically rule search engine, in the selection course of simulation model element and parameter, rule search engine is in connection with the selection having produced, at model rule base, selected in the past evaluate, recommendation element and parameter that feasibility is high.
5. electric system simulation model recommend method according to claim 1, is characterized in that: recommend the last model information producing of modeling, will deposit realistic model information bank in, think that the model rule base of enriching constantly offers help.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106157179A (en) * | 2016-07-28 | 2016-11-23 | 南方电网科学研究院有限责任公司 | The model matching method of a kind of Real-Time Model and system |
| CN107679114A (en) * | 2017-09-15 | 2018-02-09 | 四川智库慧通电力科技有限公司 | A kind of power system insulation instrument intelligent recommendation method based on service condition |
| CN114579822A (en) * | 2021-12-13 | 2022-06-03 | 北京市建筑设计研究院有限公司 | Method and device for pushing modeling tool, electronic equipment and storage medium |
| CN115048815A (en) * | 2022-08-11 | 2022-09-13 | 广州海颐软件有限公司 | Database-based intelligent simulation management system and method for power service |
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| JP2003521756A (en) * | 1999-04-08 | 2003-07-15 | トランシム テクノロジー コーポレイション | Circuit simulator |
| CN101777765A (en) * | 2010-01-27 | 2010-07-14 | 中国电力科学研究院 | On-line load simulation method of power system |
| CN103236024A (en) * | 2013-03-28 | 2013-08-07 | 国家电网公司 | Power system collaborative simulation system based on WEBGIS (web geography information system) |
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- 2013-11-18 CN CN201310581220.3A patent/CN103729495B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2003521756A (en) * | 1999-04-08 | 2003-07-15 | トランシム テクノロジー コーポレイション | Circuit simulator |
| CN101777765A (en) * | 2010-01-27 | 2010-07-14 | 中国电力科学研究院 | On-line load simulation method of power system |
| CN103236024A (en) * | 2013-03-28 | 2013-08-07 | 国家电网公司 | Power system collaborative simulation system based on WEBGIS (web geography information system) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106157179A (en) * | 2016-07-28 | 2016-11-23 | 南方电网科学研究院有限责任公司 | The model matching method of a kind of Real-Time Model and system |
| CN107679114A (en) * | 2017-09-15 | 2018-02-09 | 四川智库慧通电力科技有限公司 | A kind of power system insulation instrument intelligent recommendation method based on service condition |
| CN107679114B (en) * | 2017-09-15 | 2021-03-16 | 四川智库慧通电力科技有限公司 | Intelligent recommendation method for insulation tool of power system based on use condition |
| CN114579822A (en) * | 2021-12-13 | 2022-06-03 | 北京市建筑设计研究院有限公司 | Method and device for pushing modeling tool, electronic equipment and storage medium |
| CN115048815A (en) * | 2022-08-11 | 2022-09-13 | 广州海颐软件有限公司 | Database-based intelligent simulation management system and method for power service |
| CN115048815B (en) * | 2022-08-11 | 2022-11-04 | 广州海颐软件有限公司 | Database-based intelligent simulation management system and method for power service |
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Effective date of registration: 20191212 Address after: 241000 5th floor, management committee, high tech Industrial Development Zone, No. 83, Changjiang South Road, Yijiang District, Wuhu City, Anhui Province Patentee after: Anhui kangaier Electric Co., Ltd Address before: 241002 No. 83 Changjiang South Road, Yijiang hi tech Development Zone, Wuhu, Anhui Patentee before: WUHU UNIVERSITY SCIENCE & TECHNOLOGY PARK DEVELOPMENT CO., LTD. |