Zhou Hao, Chen Jianhua, Hang Zhenxiang, Wang Dongming, Sun Weizhen
{"title":"A cluster analysis of power producer's bidding using average electricity price difference-integration model","authors":"Zhou Hao, Chen Jianhua, Hang Zhenxiang, Wang Dongming, Sun Weizhen","doi":"10.1109/DRPT.2004.1338506","DOIUrl":null,"url":null,"abstract":"An average electricity price difference-integration model is proposed in this paper. This model can transform the unit's biding curve of power producer in market into an one-dimensional feature vector which can reflect the change of bidding curve quite conformably, so can implement classification of unit's biding using cluster analysis. Through clustering calculation of bidding curve from Zhejiang electricity market, it is shown that bidding curve can be classified accurately and efficiently using 20-segment model and square sum of deviations.","PeriodicalId":427228,"journal":{"name":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2004.1338506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
An average electricity price difference-integration model is proposed in this paper. This model can transform the unit's biding curve of power producer in market into an one-dimensional feature vector which can reflect the change of bidding curve quite conformably, so can implement classification of unit's biding using cluster analysis. Through clustering calculation of bidding curve from Zhejiang electricity market, it is shown that bidding curve can be classified accurately and efficiently using 20-segment model and square sum of deviations.