{"title":"基于广域测量系统的主成分分析故障定位","authors":"Yagang Zhang, Zengping Wang, Jinfang Zhang","doi":"10.1109/CRIS.2010.5617572","DOIUrl":null,"url":null,"abstract":"The faults in electric power system can not be completely avoided. When power system operates from normal state to failure or abnormal operates, its electric quantities may change significantly. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Therefore, utilizing real-time measurements of PMU, basing on principal components analysis technology, we have completed the fault location of electric power system. Of course, because of the complexity of different types of faults in power system, there still exists enormous problems need a close and intensive study.","PeriodicalId":206094,"journal":{"name":"2010 5th International Conference on Critical Infrastructure (CRIS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"PCA fault location based on wide area measurement systems\",\"authors\":\"Yagang Zhang, Zengping Wang, Jinfang Zhang\",\"doi\":\"10.1109/CRIS.2010.5617572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The faults in electric power system can not be completely avoided. When power system operates from normal state to failure or abnormal operates, its electric quantities may change significantly. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Therefore, utilizing real-time measurements of PMU, basing on principal components analysis technology, we have completed the fault location of electric power system. Of course, because of the complexity of different types of faults in power system, there still exists enormous problems need a close and intensive study.\",\"PeriodicalId\":206094,\"journal\":{\"name\":\"2010 5th International Conference on Critical Infrastructure (CRIS)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 5th International Conference on Critical Infrastructure (CRIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CRIS.2010.5617572\",\"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 5th International Conference on Critical Infrastructure (CRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRIS.2010.5617572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PCA fault location based on wide area measurement systems
The faults in electric power system can not be completely avoided. When power system operates from normal state to failure or abnormal operates, its electric quantities may change significantly. Our researches indicate that the variable with the biggest coefficient in principal component usually corresponds to the fault. Therefore, utilizing real-time measurements of PMU, basing on principal components analysis technology, we have completed the fault location of electric power system. Of course, because of the complexity of different types of faults in power system, there still exists enormous problems need a close and intensive study.
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