基于调度综合数据平台的大规模电网分层故障诊断  

Hierarchical Fault Diagnosis Model of a Large-scale Power System Based on Dispatch Integrated Information Platform

作　　者：朱传柏[1] 郭创新[1] 曹一家[1] 

机构地区：[1]浙江大学电气工程学院,浙江省杭州市310027

出　　处：《电力系统自动化》2009年第1期51-55,65,共6页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目(50677062);教育部新世纪优秀人才支持计划资助项目(NCET-07-07-45);浙江省自然科学基金资助项目(R107062)~~

摘　　要：当大规模电力系统发生单一或复杂故障时,各种开关及保护动作信息、报警和事件信息在短时间内同时上传到调度中心各应用系统,此时仅靠单个系统信息和单一诊断手段很难解决故障诊断问题。文中提出了一个基于调度综合数据平台(DIIP)的针对大规模电力网故障诊断的分层故障诊断多智能体系统(MAS)模型,通过分级故障特征信息订阅机制及区域智能体并行诊断和全局智能体总体诊断的分层协调诊断机制,得出最终的故障诊断结论。测试案例表明,利用基于DIIP的多智能体模型诊断故障有效且具有较好的实际应用能力。As faults occur in a large-scale power system, all relevant information is submerged in a large event and alarm stream, which makes it very difficult to deal with fault diagnosis through the capability of a single intelligent system based on individual application systems and single diagnostic means alone. This paper proposes a hierarchical fault diagnosis model of a large-scale power system adopting multi-agent system technology and based on dispatch integrated information platform （DIIP）. The results of case studies suggest that the proposed approach is effective and practicable.

关 键 词：调度综合数据平台 大规模电网 故障诊断 多智能体系统 

分 类 号：TM732[电气工程—电力系统及自动化]