{"title":"Optimal Placement of Distributed Energy Resources Including Different Load Models Using Different Optimization Techniques","authors":"A. Mohamed, S. M. Ali, A. Hemeida, A. A. Ibrahim","doi":"10.1109/ITCE.2019.8646608","DOIUrl":null,"url":null,"abstract":"This article introduces how to improve the real power losses and voltage deviation in distributed network system due to Distributed Energy Resources (DERs) allocation strategy by using Moth Swarm Algorithm (MSA) and Differential Evolution (DE) Algorithm. The proposed Optimization techniques are implemented on 33-bus and 69-bus IEEE standard radial distribution test systems with constant, industrial, residential, and commercial loads. The evaluated results have been confirmed the superiority with high performance of the DE technique than MSA technique to find the best solutions of DERs units allocation for different load factors.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCE.2019.8646608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This article introduces how to improve the real power losses and voltage deviation in distributed network system due to Distributed Energy Resources (DERs) allocation strategy by using Moth Swarm Algorithm (MSA) and Differential Evolution (DE) Algorithm. The proposed Optimization techniques are implemented on 33-bus and 69-bus IEEE standard radial distribution test systems with constant, industrial, residential, and commercial loads. The evaluated results have been confirmed the superiority with high performance of the DE technique than MSA technique to find the best solutions of DERs units allocation for different load factors.
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