基于MAS信息融合的电网故障诊断  

Power Grid Fault Diagnosis Approach Based on MAS Data Fusion

作　　者：徐岩[1] 张锐[1] 霍福广[1] 毛铮 李炜[3] 

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003 [2]浙江电力公司检修分公司,浙江杭州311232 [3]中国电力科学研究院,北京100196

出　　处：《电力科学与工程》2012年第9期24-28,共5页Electric Power Science and Engineering

摘　　要：在电网故障诊断中,由于保护及开关的误动、拒动,使传统基于单一开关量的诊断方法的精确性受到限制。为此,提出了基于Multi-Agent System(MAS)信息融合的电网故障诊断方法,通过MAS对各模块进行功能划分,并通过电气量的引入提高电网故障诊断的精确性。给出了基于MAS信息融合的电网故障诊断系统结构,并具体给出了诊断Agent的功能实现,仿真算例验证了所提方法的有效性。In the power grid fault diagnosis, the result accuracy of traditional diagnosis methods based on digital data is usually limited because of the real-operation and miss-operation of relays and breaks. A novel power grid fault diagnosis approach based on Multi-Agent System （MAS） data fusion is proposed in this paper, functional modules are divided by MAS, the diagnosis accuracy is improved by analyzing analogue data. The structure of the proposed approach is given, and the function achievement of diagnosis agent, too. The simulation verify the effectiveness of the approach.

关 键 词：MAS 信息融合 模糊Petir网 HHT 故障诊断 

分 类 号：TM77[电气工程—电力系统及自动化]