Shu Sheng, Yang Lan, Wang Jin, L. Xinran, Chen Feng
{"title":"A universal expert system to form switching sequence","authors":"Shu Sheng, Yang Lan, Wang Jin, L. Xinran, Chen Feng","doi":"10.1109/IPEC.2005.206901","DOIUrl":null,"url":null,"abstract":"Switching sequence expert system can form switching sequence automatically according to operation knowledge of field operators but it is difficult to applied for different substations, especially those with different busbar arrangement. This paper presents the reason why it is difficult to adapt a switching sequence expert system for various substations from a point view of complexity analysis. Furthermore, the paper proposed a novel complexity reduction approach to low the difficulty in adapting of the expert system for various substations. A complexity reduction based expert system that can be adapted for 39 different substations of Changsha electric power corporation is also introduced in the paper","PeriodicalId":164802,"journal":{"name":"2005 International Power Engineering Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 International Power Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPEC.2005.206901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Switching sequence expert system can form switching sequence automatically according to operation knowledge of field operators but it is difficult to applied for different substations, especially those with different busbar arrangement. This paper presents the reason why it is difficult to adapt a switching sequence expert system for various substations from a point view of complexity analysis. Furthermore, the paper proposed a novel complexity reduction approach to low the difficulty in adapting of the expert system for various substations. A complexity reduction based expert system that can be adapted for 39 different substations of Changsha electric power corporation is also introduced in the paper