摘要
针对电力系统配电网故障诊断问题,本文构建了基于因果网络的配电网故障诊断模型。该模型利用配电网故障发生时系统产生的告警信息,将配电网各设备的关联关系抽象成3类基本因果关系,运用因果网络进行逻辑逆向推理,实现配电网故障诊断。同时为验证该模型的有效性,以某实际配电网作为算例进行仿真验证。仿真结果表明,该模型能快速准确的诊断出配电网发生的故障,具有较好的诊断结果。该研究对维持配电网的稳定运行及保证用户用电的可靠性具有非常重要的意义。
According to the fault diagnosis of power system distribution network problem,this paper constructs a distribution system fault diagnosis model which is based on causal network. The model can abstract three kinds of basic causal network from the network equipment？ association relationship by using the alarm informa-tion generated by the system when the fault occurs in the distribution network. Then the distribution network fault diagnosis will be realized through applying the causal networks？ inverse inference. At the same time, in order to verify the validity of the model, it takes a practical distribution network as an example to carry out simulation and verification. The results show that the model can diagnose the distribution network fault quickly and accurately and have good diagnostic results. The research has a high practical significance to maintain the stable operation of the distribution network and to ensure the reliability of the user＇s electricity.
出处
《青岛大学学报（工程技术版）》
CAS
2016年第4期68-73,共6页
Journal of Qingdao University(Engineering & Technology Edition)
基金
山东电力科技计划项目(5206021500HC)
智慧青岛建设计划重点项目(2016-11)
关键词
配电网
故障诊断
因果网络
电力系统
distribution network
fault diagnosis
cause-effect networks
electric power system
