基于模糊因果网络的智能变电站故障诊断应用

摘要

变电站故障诊断对于事故后系统快速恢复正常运行具有重要的意义。针对变电站故障诊断中不确定信息的多源性和故障诊断的实时性，以变电站的保护信息为基础，提出了基于模糊因果网络(FCE-Nets)的变电站故障诊断方法。根据变电站各保护间的因果关系将元件分成三类基本关联节点，通过故障电气量关联函数改进保护信息的缺失校核机制，利用FCE-Nets进行逆向推理。在云会智能变电站上的应用表明，在变电站发生告警时本方法能够及时有效地进行故障诊断。%Substation fault diagnosis is of great importance to the restoration of power systems. To deal with the real-time performance and uncertainty factors of fault diagnosis in a substation, based on the protection information, a fault diagnosis method based on fuzzy cause-effect networks (FCE-Nets) algorithm is proposed. The elements of substation are divided into three kinds of basic correlated nodes by the cause-effect relationship between delay protection equipments, and verification mechanism of the missing information is optimized by correlated function of fault signals, then the fault section is judged with backward inference based on FCE-Nets. Case study of Yunhui substation demonstrates the proposed method has an effective and prompt performance when the fault alarms.