Jagannath Paramguru, S. K. Barik, A. K. Sahoo, Tanmoy Parida
{"title":"Optimization of Dynamic Economic Dispatch Problem for Micro Grid with incorporation of Wind Energy by Using Seagull Optimization","authors":"Jagannath Paramguru, S. K. Barik, A. K. Sahoo, Tanmoy Parida","doi":"10.1109/AIC55036.2022.9848893","DOIUrl":null,"url":null,"abstract":"This paper shows the optimization of dynamic economic dispatch problem with the application of Seagull optimization algorithm for finding the optimum solution and operation of microgrid. Diminution of fossil fuel and pollution starts to build up, the microgrid and renewable energy sources were added to the traditional power generators. Seagull optimization (SOA), based on natural seagull migration and attack behavior, is applied to tackle the optimization problem at the global scale. The applied technique optimizes the generation cost. The considered microgrid consists of three diverse distributed generators to satisfy the load demand. Different test systems are used to evaluate the technique’s effectiveness with other applied techniques.","PeriodicalId":433590,"journal":{"name":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE World Conference on Applied Intelligence and Computing (AIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIC55036.2022.9848893","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 shows the optimization of dynamic economic dispatch problem with the application of Seagull optimization algorithm for finding the optimum solution and operation of microgrid. Diminution of fossil fuel and pollution starts to build up, the microgrid and renewable energy sources were added to the traditional power generators. Seagull optimization (SOA), based on natural seagull migration and attack behavior, is applied to tackle the optimization problem at the global scale. The applied technique optimizes the generation cost. The considered microgrid consists of three diverse distributed generators to satisfy the load demand. Different test systems are used to evaluate the technique’s effectiveness with other applied techniques.