S. Lefebvre, J. Prévost, H. Horisberger, B. Lambert
{"title":"关于状态估计的精度","authors":"S. Lefebvre, J. Prévost, H. Horisberger, B. Lambert","doi":"10.1109/PES.2006.1709163","DOIUrl":null,"url":null,"abstract":"This paper illustrates a weakness of state estimation in regard of modeling errors. The Q-V model is in general much more complex than the P-delta model, and Q-V solutions can be badly affected by relatively small modeling errors even when its P-delta part is accurate. The paper analyses the impact of model inaccuracies and measurement bias on the solutions. Solution algorithms examined are least-squares, a modification of it called DWLS, and Huber","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"On the accuracy of state estimation\",\"authors\":\"S. Lefebvre, J. Prévost, H. Horisberger, B. Lambert\",\"doi\":\"10.1109/PES.2006.1709163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper illustrates a weakness of state estimation in regard of modeling errors. The Q-V model is in general much more complex than the P-delta model, and Q-V solutions can be badly affected by relatively small modeling errors even when its P-delta part is accurate. The paper analyses the impact of model inaccuracies and measurement bias on the solutions. Solution algorithms examined are least-squares, a modification of it called DWLS, and Huber\",\"PeriodicalId\":267582,\"journal\":{\"name\":\"2006 IEEE Power Engineering Society General Meeting\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Power Engineering Society General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PES.2006.1709163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Power Engineering Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2006.1709163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper illustrates a weakness of state estimation in regard of modeling errors. The Q-V model is in general much more complex than the P-delta model, and Q-V solutions can be badly affected by relatively small modeling errors even when its P-delta part is accurate. The paper analyses the impact of model inaccuracies and measurement bias on the solutions. Solution algorithms examined are least-squares, a modification of it called DWLS, and Huber
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