基于分层模型和开关量时序的电力系统故障元件诊断研究

Research on Fault Element Diagnosis in Power System Based on Hierarchical Model and Switch Temporal Logic

针对电力系统发生故障时,由于电网监控信息遗漏、误报,使用专家系统难以对故障元件进行正确诊断的问题,本文提出了基于知识网技术的专家系统电网故障元件诊断方法。提出了调度信息的分层归类模型,提出了知识结点置信度因子、连接弧、权重的计算方法,并提出依靠开关量动作时序和保护动作逻辑为基础,建立知识网络的方法。并以上海某电网为例,验证了本文提出的基于知识网络的专家系统的故障元件诊断方法的正确性。

When a fault occurs in the power system it is difficult to precisely diagnose the fault elements owning to the missing and false alarm information. Aiming at this,an expert system diagnosis method based on knowledge network technology is proposed in this paper. In the process of establishing the knowledge network,this paper puts forward a hierarchical scheduling information classification model,an initialization of arcs in the knowledge network and a calculation method of knowledge node confidence factors,weights which are based on switching action sequence and protection action logic. At last take Shanghai power grid as an example to verify this method.