{"title":"Application of BDI-based intelligent multi-agent systems for distribution system service restoration planning","authors":"M. Tsai, Yen-Tsung Pan","doi":"10.1002/ETEP.542","DOIUrl":null,"url":null,"abstract":"By changing the status of switches on distribution feeders, service to de-energized customers can be restored after an occurrence of a fault. In this paper, multi-agent system (MAS) is applied for the power distribution system service restoration task using local information by utilizing the characteristics of information sharing. Each software agent is running autonomously and is able to exchange information within limited distance. Every agent is capable of performing service restoration such that service restoration can be performed in parallel when a multiple fault scenario occurs. As a result, the outage period can be reduced. BDI (believe–desire–intention) agent architecture is implemented in this paper for group and zone service restoration for power distribution systems. Zone/switch relation table is built and used by agents in order to identify adequate switching actions during the service restoration planning stage. The proposed MAS is implemented on JADE (Java Agent Development) platform. The simulation results show that the proposed BDI-based service restoration agent system is capable of providing adequate restoration switching plan in several scenarios. Copyright © 2010 John Wiley & Sons, Ltd.","PeriodicalId":50474,"journal":{"name":"European Transactions on Electrical Power","volume":"21 1","pages":"1783-1801"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ETEP.542","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Transactions on Electrical Power","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/ETEP.542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
基于bdi的智能多智能体系统在配电系统服务恢复规划中的应用
通过改变配电馈线上开关的状态,可以在故障发生后恢复对断电客户的服务。本文利用信息共享的特点,将多智能体系统(MAS)应用于利用本地信息的配电系统服务恢复任务。每个软件代理都是自主运行的,能够在有限的距离内交换信息。每个代理都能够执行业务恢复,以便在发生多故障场景时并行执行业务恢复。因此,可以缩短停机时间。本文将BDI (believe-desire-intention)智能体架构应用于配电系统的群组和区域业务恢复。为了在业务恢复计划阶段确定适当的切换动作,代理建立和使用Zone/switch关系表。所提出的MAS在JADE (Java Agent Development)平台上实现。仿真结果表明,所提出的基于bdi的业务恢复代理系统能够在多种场景下提供充分的恢复切换计划。版权所有©2010 John Wiley & Sons, Ltd
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