Xiaohua Zhang, Xingying Chen, Haoming Liu, Bo Zhao
{"title":"Application of integrated weight method and support vector machine in the comprehensive evaluation of power quality","authors":"Xiaohua Zhang, Xingying Chen, Haoming Liu, Bo Zhao","doi":"10.1109/DRPT.2008.4523772","DOIUrl":null,"url":null,"abstract":"In this paper, a novel comprehensive strategy, consisting of an integrated weight method and support vector machine (SVM) method, is proposed to evaluate power quality. In integrated weight method, analysis hierarchy process (AHP) is employed to determine the subjective weights, and improved scatter degree (ISD) is employed to determine the objective weights, then the comprehensive weights could be fixed based on addition principle. Since SVM could deal with small samples and nonlinear problems effectively, it is introduced into the comprehensive evaluation of power quality. Test results show that the proposed strategy is feasible to PQ evaluation problems. At the same time it can obtain reasonable evaluation results quickly. The obtained model has so good generalization performance that it is fit for large practical samples.","PeriodicalId":240420,"journal":{"name":"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2008.4523772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, a novel comprehensive strategy, consisting of an integrated weight method and support vector machine (SVM) method, is proposed to evaluate power quality. In integrated weight method, analysis hierarchy process (AHP) is employed to determine the subjective weights, and improved scatter degree (ISD) is employed to determine the objective weights, then the comprehensive weights could be fixed based on addition principle. Since SVM could deal with small samples and nonlinear problems effectively, it is introduced into the comprehensive evaluation of power quality. Test results show that the proposed strategy is feasible to PQ evaluation problems. At the same time it can obtain reasonable evaluation results quickly. The obtained model has so good generalization performance that it is fit for large practical samples.