{"title":"Application of Crow Search Algorithm to solve Real Time Optimal Power Flow Problem","authors":"P. Bamane","doi":"10.1109/ICCPEIC45300.2019.9082372","DOIUrl":null,"url":null,"abstract":"This paper presents the application of a metaheuristic optimization method called Crow Search Algorithm (CSA) to solve real time Optimal Power Flow (OPF) problem. CSA is the population based algorithm which mimics the behavior of food foraging process of crows. To show the effectiveness of the algorithm it is first applied to benchmark function. Optimal Power Flow is the power system optimization problem. The CSA algorithm is applied to solve Optimal Power Flow considering different source such as thermal, wind and solar. The IEEE 30 bus system is taken for consideration. The results obtained are compared with other algorithm for defined optimization problem as well as benchmark functions. The result shows that CSA gives best solution as compared other algorithms.","PeriodicalId":120930,"journal":{"name":"2019 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPEIC45300.2019.9082372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the application of a metaheuristic optimization method called Crow Search Algorithm (CSA) to solve real time Optimal Power Flow (OPF) problem. CSA is the population based algorithm which mimics the behavior of food foraging process of crows. To show the effectiveness of the algorithm it is first applied to benchmark function. Optimal Power Flow is the power system optimization problem. The CSA algorithm is applied to solve Optimal Power Flow considering different source such as thermal, wind and solar. The IEEE 30 bus system is taken for consideration. The results obtained are compared with other algorithm for defined optimization problem as well as benchmark functions. The result shows that CSA gives best solution as compared other algorithms.
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