{"title":"Optimal Day-Ahead Dispatch in Isolated AC/DC Microgrids Using Hunger Game Search Algorithm","authors":"M. M. Ibrahim, W. Omran, H. Hasanien","doi":"10.1109/MEPCON55441.2022.10021796","DOIUrl":null,"url":null,"abstract":"This paper provides optimal day-ahead dispatch for multi-zone isolated AC/DC microgrids (MGs). The proposed approach aims to reduce the daily operational costs and customer power supply interruptions by effectively managing the MG resources. The problem is defined as a constrained integer non-linear optimization problem and is solved with the Hunger Game Search (HGS) algorithm. The HGS performance is compared to the Sine Cosine Algorithm (SCA) and Particle Swarm Optimization (PSO). The simulations' results demonstrate the proposed approach's effectiveness in achieving the required objectives.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 23rd International Middle East Power Systems Conference (MEPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEPCON55441.2022.10021796","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 provides optimal day-ahead dispatch for multi-zone isolated AC/DC microgrids (MGs). The proposed approach aims to reduce the daily operational costs and customer power supply interruptions by effectively managing the MG resources. The problem is defined as a constrained integer non-linear optimization problem and is solved with the Hunger Game Search (HGS) algorithm. The HGS performance is compared to the Sine Cosine Algorithm (SCA) and Particle Swarm Optimization (PSO). The simulations' results demonstrate the proposed approach's effectiveness in achieving the required objectives.