摘要
电力系统发生故障后的警报信息具有时序特性,如何适当利用这种时序特性以快速而准确地诊断故障是一个值得研究的重要问题。现有的具备实际应用潜力的故障诊断方法大多没有利用警报信息的时序特性。因果网络可以描述设备故障与保护和断路器动作之间的逻辑关系,且具有推理速度快、维护方便等优点。在此背景下,针对电力系统故障诊断问题的特征,首先对因果网络进行了扩展,引入了警报信息时序特性约束的概念,构建了一种新的时序因果网络;之后,提出了基于时序因果网络的故障诊断方法。所述方法在保留了因果网络原有特点的前提下,在一定程度上克服了其容错性较差和难以合理解释故障演变过程的不足。最后,用实际电力系统发生的故障案例对所提出的方法进行了说明。
The temporal information of alarm messages from a faulted power system plays an important role in fault diagnosis, and how to appropriately employ the temporal information for quickly achieving accurate fault diagnosis results of complicated fault scenarios is an important yet unsolved problem. Some research work has been done in this area, but is still very preliminary. In most existing power system fault diagnosis methods with practical application potentials, the temporal information is not well explored. The cause-effect net （CEN） is a graphic-modeling tool for representing the causality between faulted components and operations of protective relays and circuit breakers, and is characterized by rapid reasoning and easy knowledge-base maintenance. Given this background, the CEN is extended to accommodate temporal information and a temporal CEN （TCEN） is then developed. A new method for power system fault diagnosis based on TCEN is proposed. The proposed TCEN based method could not only maintain the advantages, but also improve the fault tolerant capability of the exiting CEN based fault diagnosis method. Moreover, the proposed method could better explain the fault evolution procedure. Finally, an actual power system is served for demonstrating the feasibility and efficiency of the proposed method. This work is supported by National High Technology Research and Development Program of China （863 Program） （No. 2011AA05A105） and a Key Project from Zhejiang Electric Power Corporation.
出处
《电力系统自动化》
EI
CSCD
北大核心
2013年第9期47-53,共7页
Automation of Electric Power Systems
基金
国家高科技研究发展计划(863计划)资助项目(2011AA05A105)
浙江省电力公司重点科技项目~~
关键词
故障诊断
时序信息
因果网络
时序因果网络
电力系统
fault diagnosis
temporal information
eause-effeet net
temporal cause-effect net
power systems
