引用本文:田方媛,张 岩,徐 兵,文福拴,朱炳铨,徐立中.多代理系统框架下的主动配电系统故障诊断[J].电力自动化设备,2016,36(6):
TIAN Fangyuan,ZHANG Yan,XU Bing,WEN Fushuan,ZHU Bingquan,XU Lizhong.Fault diagnosis based on multi agent system for active distribution system[J].Electric Power Automation Equipment,2016,36(6):
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多代理系统框架下的主动配电系统故障诊断
田方媛1, 张 岩1, 徐 兵1, 文福拴1,2, 朱炳铨3, 徐立中3
1.浙江大学 电气工程学院,浙江 杭州 310027;2.文莱科技大学 电机与电子工程系,文莱 斯里巴加湾 BE1410;3.国网浙江省电力公司,浙江 杭州 310007
摘要:
现有的针对单端电源配电系统所配置的继电保护需要升级改造以适应嵌入了分布式电源的主动配电系统的运行要求。作为配电自动化系统的核心功能,故障诊断模块对于快速而准确地判断配电系统中发生的故障、进而加快系统恢复过程具有重要作用。在此背景下,提出一种基于多代理系统MAS(Multi-Agent System)的主动配电系统故障诊断方法,包括MAS的基础架构设计、通用Agent模型构建以及基于 MAS的故障诊断策略制定。在所提MAS框架下,在各个母线/节点配置了以故障诊断解析模型为基础的Agent,并引入关联因子来反映各Agent间的耦合关系,区别分析信息缺失和信息畸变对故障诊断正确性的影响,基于此重点研究了利用Agent间通信和协商机制实现故障诊断的策略以得到全局最优故障诊断结果。最后,32节点测试系统的仿真表明了所提方法可以在相当程度上容纳警报信息缺失和畸变,并能够对保护和断路器的动作特性进行评价。
关键词:  主动配电系统  分布式电源  故障诊断  解析模型  多代理系统
DOI:
分类号:
基金项目:国家高技术研究发展计划(863计划)资助项目(2015AA050202);国网浙江省电力公司科研项目(5211ZD13000R);国家电网公司总部科技项目(52110115009Q)
Fault diagnosis based on multi agent system for active distribution system
TIAN Fangyuan1, ZHANG Yan1, XU Bing1, WEN Fushuan1,2, ZHU Bingquan3, XU Lizhong3
1.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;2.Department of Electrical and Electronic Engineering,Universiti Teknologi Brunei,Bandar Seri BegawanBE1410,Brunei;3.State Grid Zhejiang Electric Power Company,Hangzhou 310007,China
Abstract:
The relay protections originally configured for traditional distribution network with single power-supply should be updated to meet the operational requirements of active distribution network with distributed generations. As a core function of distribution automation system,the fault diagnosis module plays an important role in the accurate and quick fault detection for speeding up the system recovery. A method of fault diagnosis based on MAS(Multi Agent System) is proposed for the active distribution network. The MAS framework is designed,the general agent model is established and the fault diagnosis strategy based on MAS is developed. In the designed MAS framework,each bus/node is equipped with an agent based on the analytical model of fault diagnosis and a correlation factor is employed to represent the coupling relationship between any two bus agents. The impact of information loss or information distortion on the accuracy of fault diagnosis is analyzed separately. The developed strategy adopts the communication and negotiation mechanism between agents to obtain the global optimal results of fault diagnosis. The simulation for a modified 32-bus test system demonstrates that,the proposed method can tolerate the loss or distortion of alarm information and evaluate the operating characteristics of protections and circuit-breakers.
Key words:  active distribution network  distributed power generation  fault diagnosis  analytical model  multi agent systems

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