基于贝叶斯网络的电力系统故障诊断方法

Power System Fault Diagnosis Approach Based on Bayesian Network

针对电力系统故障诊断中存在的信息不完备和不确定性问题,提出了基于贝叶斯网络的故障诊断方法。依据保护装置动作原理分别建立了完备和不完备信息下的分布式贝叶斯网络模型,用该模型进行故障诊断,验证了该方法的正确性和有效性。

To solve the incompleteness and uncertainty of information existing in power system fault diagnosis, a new fault diagnosis method based on Bayesian network is proposed in this paper. The distributed Bayesian network models using perfect or imperfect information are established for fault diagnosis according to the operating rules of protective devices. Diagnostic results of instance proved the effectiveness and superiority of the proposed method.