{"title":"A Comparative Study of State-of-the-Art Transmission Expansion Planning Tools","authors":"T. Sum-Im, G. Taylor, M. Irving, Y. Song","doi":"10.1109/UPEC.2006.367757","DOIUrl":null,"url":null,"abstract":"In this paper, a novel differential evolution algorithm (DEA) is applied directly to the DC power flow based model to solve the transmission expansion planning (TEP) problem. This paper presents a major development of artificial intelligent (AI) algorithms through application of a DEA to the TEP problem. The effectiveness of the proposed development is initially demonstrated via analysis of the Garver's six-bus test system and the IEEE 25-bus test system within the mathematical programming environment of MATLAB. Analyses are performed using both a DEA and a conventional genetic algorithm (CGA) and a detailed comparative study is presented","PeriodicalId":184186,"journal":{"name":"Proceedings of the 41st International Universities Power Engineering Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 41st International Universities Power Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC.2006.367757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
In this paper, a novel differential evolution algorithm (DEA) is applied directly to the DC power flow based model to solve the transmission expansion planning (TEP) problem. This paper presents a major development of artificial intelligent (AI) algorithms through application of a DEA to the TEP problem. The effectiveness of the proposed development is initially demonstrated via analysis of the Garver's six-bus test system and the IEEE 25-bus test system within the mathematical programming environment of MATLAB. Analyses are performed using both a DEA and a conventional genetic algorithm (CGA) and a detailed comparative study is presented
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
