S. Chakraborty, T. Senjyu, A. Yona, A. Saber, T. Funabashi
{"title":"Fuzzy unit commitment strategy integrated with solar energy system using a modified differential evolution approach","authors":"S. Chakraborty, T. Senjyu, A. Yona, A. Saber, T. Funabashi","doi":"10.1109/TD-ASIA.2009.5357006","DOIUrl":null,"url":null,"abstract":"This paper presents a fuzzy methodology for solving thermal unit commitment problem integrated with solar energy system using differential evolution approach. Solar energy with battery is integrated with the model due to lower electric cost and positive effect on the environment. Such inclusion of intermittent solar energy with thermal power generators, requires sophisticated methodology since the uncertainty is involved. Therefore the solar radiation, forecasted load demand and associated constraints are formulated as fuzzy sets considering the error. Then the unit commitment problem is solved using a modified differential evolution approach. Several simulations are presented in order to demonstrate the effectiveness of the proposed method.","PeriodicalId":131589,"journal":{"name":"2009 Transmission & Distribution Conference & Exposition: Asia and Pacific","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Transmission & Distribution Conference & Exposition: Asia and Pacific","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TD-ASIA.2009.5357006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a fuzzy methodology for solving thermal unit commitment problem integrated with solar energy system using differential evolution approach. Solar energy with battery is integrated with the model due to lower electric cost and positive effect on the environment. Such inclusion of intermittent solar energy with thermal power generators, requires sophisticated methodology since the uncertainty is involved. Therefore the solar radiation, forecasted load demand and associated constraints are formulated as fuzzy sets considering the error. Then the unit commitment problem is solved using a modified differential evolution approach. Several simulations are presented in order to demonstrate the effectiveness of the proposed method.