Azeroual Mohamed, Boujoudar Younes, T. Lamhamdi, Hassan El Moussaoui, H. El Markhi
{"title":"Fault Location and Isolation Technique in Smart Distribution Systems with Distributed Generation","authors":"Azeroual Mohamed, Boujoudar Younes, T. Lamhamdi, Hassan El Moussaoui, H. El Markhi","doi":"10.1109/IRASET48871.2020.9092095","DOIUrl":null,"url":null,"abstract":"This paper proposes a new multiagent system algorithm to increase the security and protection of power systems. The multi-agent system (MAS) proposed for fault location, distance estimation, and automatic power restoration in a distribution system with renewable Distributed Generation (DG). The smart agents proposed consisting of many nodes (agents) to collect the real-time data and power flow between different physical processes from power networks, for fault location and power system control. To test the multi-agent system proposed we used a part of Kenitra city distribution system in Morocco with the integration of wind power. The simulation present that the proposed approach for fault location and power restoration significantly improves the reliability of power systems.","PeriodicalId":271840,"journal":{"name":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRASET48871.2020.9092095","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
This paper proposes a new multiagent system algorithm to increase the security and protection of power systems. The multi-agent system (MAS) proposed for fault location, distance estimation, and automatic power restoration in a distribution system with renewable Distributed Generation (DG). The smart agents proposed consisting of many nodes (agents) to collect the real-time data and power flow between different physical processes from power networks, for fault location and power system control. To test the multi-agent system proposed we used a part of Kenitra city distribution system in Morocco with the integration of wind power. The simulation present that the proposed approach for fault location and power restoration significantly improves the reliability of power systems.