{"title":"A multi-agent system for power system restoration","authors":"T. Nagata, H. Sasaki","doi":"10.1109/PESW.2001.917285","DOIUrl":null,"url":null,"abstract":"This paper proposes a multi-agent approach to power system restoration. The proposed system consists of several bus agents (BAGs) and a single facilitator agent (FAG). A BAG is developed to decide a sub-optimal target configuration after faults occur by interacting with other BAGs, while a FAG is developed to act as a manager for the decision process. The interaction of several simple agents leads to a dynamic system allowing efficient approximation of a solution. It is shown from simulation results that this method is able to obtain sub-optimal target configurations which are the same as ones obtained by a mathematical programming approach.","PeriodicalId":253534,"journal":{"name":"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESW.2001.917285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper proposes a multi-agent approach to power system restoration. The proposed system consists of several bus agents (BAGs) and a single facilitator agent (FAG). A BAG is developed to decide a sub-optimal target configuration after faults occur by interacting with other BAGs, while a FAG is developed to act as a manager for the decision process. The interaction of several simple agents leads to a dynamic system allowing efficient approximation of a solution. It is shown from simulation results that this method is able to obtain sub-optimal target configurations which are the same as ones obtained by a mathematical programming approach.