Bilal H. Al-Majali, A. Zobaa, I. Pisica, O. Ceylan
{"title":"Optimal STATCOM Allocation Using Mixed Integer Distributed Ant Colony Optimization","authors":"Bilal H. Al-Majali, A. Zobaa, I. Pisica, O. Ceylan","doi":"10.1109/CPERE56564.2023.10119602","DOIUrl":null,"url":null,"abstract":"This paper presents a novel optimization approach to find the optimal STATCOM installation in the power system using Mixed Integer Distributed Ant Colony optimization (MIDACO). The proposed method is mathematically formulated based on minimizing the Voltage Deviation Index (VDI) and the installation cost of STATCOM. The ability of STATCOM to provide shunt compensation to maintain bus voltage is exploited here. The proposed approach has been tested on the standard IEEE 14-bus system.","PeriodicalId":169048,"journal":{"name":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPERE56564.2023.10119602","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 a novel optimization approach to find the optimal STATCOM installation in the power system using Mixed Integer Distributed Ant Colony optimization (MIDACO). The proposed method is mathematically formulated based on minimizing the Voltage Deviation Index (VDI) and the installation cost of STATCOM. The ability of STATCOM to provide shunt compensation to maintain bus voltage is exploited here. The proposed approach has been tested on the standard IEEE 14-bus system.