{"title":"Chemical Reaction Optimization for solving transient stability constrained optimal power flow","authors":"A. Mukherjee, P. Roy","doi":"10.1109/ICONCE.2014.6808739","DOIUrl":null,"url":null,"abstract":"Optimal power flow with transient stability constraints (TSC-OPF) is a nonlinear semi-infinite optimization technique, and is difficult to be solved precisely even for a small dimension power system. In order to solve the TSC-OPF problem efficiently and successfully, a new optimization technique named Chemical Reaction Optimization (CRO) is proposed in this paper. CRO algorithm simulates the theory of chemical reactions that takes place between of one set of chemical substances to another. We have explained the basic philosophy of this method in detail. In this paper, we describe the comparison of other methods with CRO in solving 39 buses, 10 generator systems and it is seen that CRO method is very much efficient and reliable than the other popular methods to solve TSC-OPF problem.","PeriodicalId":109404,"journal":{"name":"2014 1st International Conference on Non Conventional Energy (ICONCE 2014)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 1st International Conference on Non Conventional Energy (ICONCE 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONCE.2014.6808739","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Optimal power flow with transient stability constraints (TSC-OPF) is a nonlinear semi-infinite optimization technique, and is difficult to be solved precisely even for a small dimension power system. In order to solve the TSC-OPF problem efficiently and successfully, a new optimization technique named Chemical Reaction Optimization (CRO) is proposed in this paper. CRO algorithm simulates the theory of chemical reactions that takes place between of one set of chemical substances to another. We have explained the basic philosophy of this method in detail. In this paper, we describe the comparison of other methods with CRO in solving 39 buses, 10 generator systems and it is seen that CRO method is very much efficient and reliable than the other popular methods to solve TSC-OPF problem.