CN103729495B - power system simulation model recommendation method - Google Patents
power system simulation model recommendation method Download PDFInfo
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- CN103729495B CN103729495B CN201310581220.3A CN201310581220A CN103729495B CN 103729495 B CN103729495 B CN 103729495B CN 201310581220 A CN201310581220 A CN 201310581220A CN 103729495 B CN103729495 B CN 103729495B
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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, specially a kind of power system simulation model recommendation method.
Background technology
With the raising of power automation level, design, operation and control of the power system simulation software in power system
In play an important role.But at present all kinds of power system simulation models set up many personal Jing according to modeling personnel of process
Test, replicability is poor, this method will record modeling experience, to improve the degree of accuracy of modeling, improve modeling experience, improve emulation
Modeling efficiency.
The content of the invention
It is an object of the invention to provide a kind of power system simulation model recommendation method, to overcome above-mentioned prior art not
Foot.
In order to achieve the above object, the technical solution adopted in the present invention is：
Power system simulation model recommendation method, it is characterised in that：Simulation modeling information bank is built, analytic induction goes out emulation
The rule base of modeling, the rule base have recorded the characteristic information comprising each parameter and interelement correlation rule, build
In mold process, selected by the parameter of user modeling and element, according to the related information in rule base be given possibility it is high under
One-shot job element selects to recommend.
Described power system simulation model recommendation method, it is characterised in that：Change, reprint operation by extracting, filling, it is integrated
Simulation model data, new emulation Web applications, the simulation model data of APP application generations left, build simulation model information
Storehouse.
Described power system simulation model recommendation method, it is characterised in that：For simulation model information bank, application point
Class, correlation rule big data analytical technology, produce about model element and the correlation rule information of parameter, comment with reference to simulation result
Valency, sets up artificial intelligence correlation rule storehouse.
Described power system simulation model recommendation method, it is characterised in that：Rule search engine is set up, in simulation modeling
During, automatically rule search engine can be started, in the selection course of simulation model element and parameter, rule search draws
Holding up will combine the selection that produced, select in model rule base evaluate in the past, the recommendation element that feasibility is high and parameter.
Described power system simulation model recommendation method, it is characterised in that：Recommend the last model information for producing of modeling,
Simulation model information bank is still stored into, to provide help as model rule base of enriching constantly.
The present invention goes out the rule base of simulation modeling by building simulation modeling information bank, analytic induction, the rule base record
The past characteristic information such as each parameter and interelement correlation rule, in modeling process, the element produced with reference to user and ginseng
Number is selected, and is provided the high next step operation element of possibility according to the related information in rule base and is selected to recommend, and is built so as to improve
The degree of accuracy of mould, improves modeling experience, improves simulation modeling efficiency.
The present invention compared with prior art, has the advantage that：
（1）, simulation model rule base is built, record the empirical features data of the past simulation model；
（2）, by search mechanisms in modeling process, the reference information of emulation element is provided, improve modeling experience, improve imitative
True efficiency.
Description of the drawings
Fig. 1 is FB(flow block) of the present invention.
Specific embodiment
As shown in Figure 1.A kind of power system simulation model recommendation method, builds simulation modeling information bank, and analytic induction goes out
The rule base of simulation modeling, the rule base have recorded the characteristic information such as each parameter and interelement correlation rule, in modeling process
In, selected by the parameter and element of user modeling, provide the high next step of possibility according to the related information in rule base and make
Industry element selects to recommend.
By ETL（Extract, dress is changed, reprinted）Operation, the integrated simulation model data left, new emulation Web applications,
The simulation model data of the generations such as APP applications, build simulation model information bank.
For big data analytical technologies such as simulation model information bank, application class, correlation rules, relevant model element is produced
With the correlation rule information of parameter, with reference to simulation result evaluation, artificial intelligence correlation rule storehouse is set up.
Rule search engine is set up, during simulation modeling, automatically rule search engine can be started, in emulation mould
In the selection course of type element and parameter, rule search engine will combine the selection that produced, model rule base select with
Toward evaluating, the recommendation element that feasibility is high and parameter.
Recommend the last model information for producing of modeling, be still stored into simulation model information bank, think model rule of enriching constantly
Then storehouse provides help.
Claims (1)
1. power system simulation model recommendation method, it is characterised in that：Simulation model information bank is built, analytic induction goes out to emulate mould
Type correlation rule storehouse, the rule base have recorded the characteristic information comprising each parameter and interelement correlation rule, build
In mold process, selected by the parameter of user modeling and element, according to the related information in rule base be given possibility it is high under
One-shot job element selects to recommend；
Change, reprint operation by extracting, filling, the integrated simulation model data left, new emulation Web applications, APP applications are produced
Simulation model data, build simulation model information bank；
For simulation model information bank, application class, correlation rule big data analytical technology, relevant model element and parameter are produced
Correlation rule information, with reference to simulation result evaluation, set up simulation model correlation rule storehouse；
Set up rule search engine, during simulation modeling, start automatically rule search engine, in simulation model element and
In the selection course of parameter, rule search engine will combine the selection that produced, simulation model correlation rule storehouse select with
Toward evaluating, the recommendation element that feasibility is high and parameter；
Recommend the last model information for producing of modeling, be still stored into simulation model information bank, think simulation model pass of enriching constantly
Connection rule base provides help.
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| CN201310581220.3A CN103729495B (en) | 2013-11-18 | 2013-11-18 | power system simulation model recommendation method |
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| CN201310581220.3A CN103729495B (en) | 2013-11-18 | 2013-11-18 | power system simulation model recommendation method |
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| CN103729495A CN103729495A (en) | 2014-04-16 |
| CN103729495B true CN103729495B (en) | 2017-04-12 |
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Families Citing this family (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 | Model matching method and system of real-time simulation model |
| 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 |
| CN114579822B (en) * | 2021-12-13 | 2023-05-30 | 北京市建筑设计研究院有限公司 | Modeling tool pushing method and device, electronic equipment and storage medium |
| 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 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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) |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU4334200A (en) * | 1999-04-08 | 2000-11-14 | Transim Technology Corporation | Circuit simulator |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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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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. |