融合MBD一致性推理与Petri网模式辨识的配电网故障诊断方法

Fault Diagnosis Method for Distribution Network Based on MBD Consistency Reasoning and Petri Net Fault Pattern Recognition

基于模型诊断的溯因性推理不但要求诊断的故障假说与观测量匹配,而且还要求根据观测信息推断出故障假说状态,因此存在着建模复杂、效率低的问题。而基于Petri网的诊断方法具有严格的数学逻辑,能够实现快速的矩阵运算,建模简单、效率高。将Petri网应用到配电网的故障模式辨识中,并且与基于模型诊断的一致性推理结合,形成一种快速高效的配电网故障定位方法。该方法不仅能够快速、准确地诊断出故障元件,而且能够诊断出故障模式。

Model diagnosis based traceability reasoning requires not only the matching of fault hypothesis to observation,but also fault hypothesis state inferred from the observation information,it has the problems of complex modeling and low efficiency.Petri net based diagnosis method has strict mathematical logic,and can realize fast matrix operation,simple modeling and high efficiency.The paper uses the Petri net to indentify the fault mode of distribution network,can locate the fault component quickly and accurately by combining with consistency reasoning based on the model diagnosis,and recognize the fault pattern.