电网故障诊断的研究历程及展望

Research Course and Prospects of Power Grid Fault Diagnosis

结合电网故障诊断的研究目标、数据源、常用方法、典型应用及其应用情况的发展变化,阐述了电网故障诊断的研究历程;综述了基于专家系统、人工神经网络、优化算法等常见诊断方法,论述了不同方法在电网故障诊断过程中的特点、诊断原理及缺点;归纳了当前诊断常用的建模方式及系统架构;结合智能电网需求及故障诊断的应用现状,展望了电网故障诊断的发展方向,指出影响电网故障诊断系统实用化的关键因素在于电网故障诊断系统如何适应复杂的数据环境、复杂电网故障中保护动作行为的分析、在线诊断系统的自动建模与维护以及如何完整重现故障诊断过程。

Combining with the research goal, data source, common methods, typical application of power grid fault diagnosis and the situation of its application, the research course of power grid fault diagnosis is expounded; the frequent diagnosis methods based on expert system, artificial neural network and optimization algorithms are summarized, and the features, diagnosis principle and defects of different diagnosis methods during power grid fault diagnosis are discussed; common modeling modes and system structure for present diagnosis are concluded; and the development trend of power grid fault diagnosis is prospected. It is pointed out that the key factors impacting the practicality of power grid fault diagnosis system lie in following aspects： how to make power grid fault diagnosis system suitable to complex data environment, the analysis on action and behavior of protective devices during complex fault, automatic modeling and maintenance of online fault diagnosis system and how to reappear fault diagnosis process completely.