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基于多智能体的电力系统设备预知维护
引用本文:孟安波,陈少华,聂一雄,陈璟华,傅闯.基于多智能体的电力系统设备预知维护[J].电气应用,2008,27(16).
作者姓名:孟安波  陈少华  聂一雄  陈璟华  傅闯
作者单位:广东工业大学自动化学院,510006;南方电网技术研究中心,510623
基金项目:广东省高等学校重点自然科学基金
摘    要:针对电力系统设备传统维护方式的事后维护和计划维护的局限性,在分析电力系统状态监测的现状基础上,提出一个电力系统设备的预知维护通用分层结构模型.该模型主要包括数据采集层、数据处理层、数据诊断层以及维护决策层.通过引入多智能体,建立了一个与FI-PA Agent兼容的电力系统设备预知维护多智能体系统框架,并分析设计了在此框架下智能体的通用内部通用结构以及Agent之间通信与协作.

关 键 词:电力系统设备  预知维护  状态监测  多智能体

Study of MAS Based Predictive Maintenance of Power System Equipment
Meng Anbo.Study of MAS Based Predictive Maintenance of Power System Equipment[J].Electrotechnical Application,2008,27(16).
Authors:Meng Anbo
Affiliation:Guangdong University of Technology
Abstract:The main traditional equipment maintenance of power system depends on post-maintenance or plan-maintenance . Base on the state of art of state monitoring of power system, a general predictive maintenance layer model for power systemequipment is proposed , which consists of data acquisition layer ,data processing layer ,data diagnosis layer and maintenance decision-makinglayer .By virtue of multi-agent system, a FIPA-compatible MAS based on predictive maintenance architecture for power systemis put forward . On this basis ,a general internal structure of maintenance agent is proposed and the communication and cooperation among agents is also discussed .
Keywords:power system equipment predictive mainte- nance state monitoring multi-agent system
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