{"title":"自组织竞争人工神经网络在电力系统暂态稳定中的应用","authors":"Xue Wei","doi":"10.1109/ICEEE.2010.5661288","DOIUrl":null,"url":null,"abstract":"In this paper, a self-organizing ANN classifier is designed to estimate transient stability problem. This kind of classifier uses six indexes which are indexes of the integrated performance index method, so as to distinguish power system transient stability state into stable accident and unstable accident. It has better classified effect, and can reducing the number of accidents. It is also suitable for online dynamic security assessment.","PeriodicalId":6302,"journal":{"name":"2010 International Conference on E-Product E-Service and E-Entertainment","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of the Self-Organizing Competition Artificial Neural Network in Power System Transient Stability\",\"authors\":\"Xue Wei\",\"doi\":\"10.1109/ICEEE.2010.5661288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a self-organizing ANN classifier is designed to estimate transient stability problem. This kind of classifier uses six indexes which are indexes of the integrated performance index method, so as to distinguish power system transient stability state into stable accident and unstable accident. It has better classified effect, and can reducing the number of accidents. It is also suitable for online dynamic security assessment.\",\"PeriodicalId\":6302,\"journal\":{\"name\":\"2010 International Conference on E-Product E-Service and E-Entertainment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on E-Product E-Service and E-Entertainment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEE.2010.5661288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on E-Product E-Service and E-Entertainment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEE.2010.5661288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of the Self-Organizing Competition Artificial Neural Network in Power System Transient Stability
In this paper, a self-organizing ANN classifier is designed to estimate transient stability problem. This kind of classifier uses six indexes which are indexes of the integrated performance index method, so as to distinguish power system transient stability state into stable accident and unstable accident. It has better classified effect, and can reducing the number of accidents. It is also suitable for online dynamic security assessment.
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