{"title":"Multiobjective backtracking search algorithm for solving optimal power flow","authors":"F. Daqaq, R. Ellaia, M. Ouassaid","doi":"10.1109/EITECH.2017.8255253","DOIUrl":null,"url":null,"abstract":"Optimal Power Flow (OPF) using the Multi objective functions is becoming one of the most important issues in power system. This paper presents a new method to solve the highly constrained multi-objective optimization. In the proposed approach, Multi Objective Backtracking Search Algorithm (MOBSA) is used as the main optimizer for optimal adjustments of the power system control variables of the OPF problem. Considering several objectives such as fuel cost minimization, voltage improvement, and voltage stability enhancement. The proposed technique has been examined and tested for standard IEEE 30 bus system. The MOBSA method is demonstrated and compared with several intelligence heuristic algorithms.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electrical and Information Technologies (ICEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EITECH.2017.8255253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Optimal Power Flow (OPF) using the Multi objective functions is becoming one of the most important issues in power system. This paper presents a new method to solve the highly constrained multi-objective optimization. In the proposed approach, Multi Objective Backtracking Search Algorithm (MOBSA) is used as the main optimizer for optimal adjustments of the power system control variables of the OPF problem. Considering several objectives such as fuel cost minimization, voltage improvement, and voltage stability enhancement. The proposed technique has been examined and tested for standard IEEE 30 bus system. The MOBSA method is demonstrated and compared with several intelligence heuristic algorithms.
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