K. Nareshkumar, M. Choudhry, J. Lai, A. Feliachi
{"title":"Application of multi-agents for fault detection and reconfiguration of power distribution systems","authors":"K. Nareshkumar, M. Choudhry, J. Lai, A. Feliachi","doi":"10.1109/PES.2009.5276005","DOIUrl":null,"url":null,"abstract":"The electric power system has become a very complicated network at present because of re-structuring and the penetration of distributed generation and storage. A single fault can lead to massive cascading effects affecting power supply and power quality. An overall systematic solution for these issues could be obtained by an artificial intelligent mechanism called the multi-agent system. This paper presents a multi-agent system model for fault detection and reconfiguration based on graph theory and mathematical programming. The multi-agent models are simulated in Java Agent Development Framework and Matlab¯ and are applied to a power system model designed in the commercial software, the Distributed Engineering Workstation©. The circuit that is used to model the power distribution system is a simplified model of the Circuit of the Future, developed by Southern California Edison. Possible fault cases were tested and a few critical test scenarios are presented in this paper. The results obtained were promising and were as expected.","PeriodicalId":258632,"journal":{"name":"2009 IEEE Power & Energy Society General Meeting","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Power & Energy Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2009.5276005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
多智能体在配电系统故障检测与重构中的应用
由于电力系统的重构和分布式发电、分布式存储的普及,目前电力系统已成为一个非常复杂的网络。单个故障可能导致大规模的级联效应,影响供电和电能质量。这些问题的整体系统解决方案可以通过一种称为多智能体系统的人工智能机制来实现。提出了一种基于图论和数学规划的多智能体故障检测与重构系统模型。在Java Agent Development Framework和Matlab¯中对多智能体模型进行了仿真,并将其应用于商业软件分布式工程工作站©中设计的电力系统模型。用于模拟配电系统的电路是由南加州爱迪生公司开发的未来电路的简化模型。本文对可能的故障案例进行了测试,并给出了几个关键的测试场景。所得结果与预期一致,令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。