{"title":"Optimal Allocation of Distributed Generations and Capacitor Using Multi-Objective Different Optimization Techniques","authors":"A. Saleh, A. Mohamed, A. Hemeida","doi":"10.1109/ITCE.2019.8646426","DOIUrl":null,"url":null,"abstract":"In this paper, the performance of different optimization techniques namely, Moth Swarm Algorithm (MSA) and Whale Optimization Algorithm (WOA) are presented and compared for minimization of single and multi-objective namely, (total network power losses, and voltage deviation) in radial distribution systems by identify the Optimal Placement of Distributed Energy Resources (DER) together with capacitor (C). In this regard, multiple-DER units are analyzed under two load power factors (i.e., unity and optimal) with and without C. The proposed algorithms have been tested on the 33-bus radial distribution network. The performance of the different optimization algorithms has been compared with other evolutionary optimization technique under different system operating conditions. The simulation results observed the impact of integrating the proper size of DER at the suitable placement based on different techniques with and without C.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"445 1-2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","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.2019.8646426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
In this paper, the performance of different optimization techniques namely, Moth Swarm Algorithm (MSA) and Whale Optimization Algorithm (WOA) are presented and compared for minimization of single and multi-objective namely, (total network power losses, and voltage deviation) in radial distribution systems by identify the Optimal Placement of Distributed Energy Resources (DER) together with capacitor (C). In this regard, multiple-DER units are analyzed under two load power factors (i.e., unity and optimal) with and without C. The proposed algorithms have been tested on the 33-bus radial distribution network. The performance of the different optimization algorithms has been compared with other evolutionary optimization technique under different system operating conditions. The simulation results observed the impact of integrating the proper size of DER at the suitable placement based on different techniques with and without C.