基于方向性加权模糊Petri网的电网故障诊断方法

Power System Fault-diagnosis Method Based on Directional Weighted Fuzzy Petri Nets

针对复杂电网故障诊断的模糊Petri网模型不能适应网络拓扑变化且未考虑保护和断路器信息对故障影响程度等问题,提出了基于方向性加权模糊Petri网的电网故障诊断方法。首先通过电力网络拓扑分析确定停电区域;其次,分别在每个故障蔓延方向上对停电区域内的元件建模进行推理计算;最后分析该算法在网络拓扑变化时的通用性以及信息不完备情况下的容错性。对14节点电力系统的仿真结果表明:该算法可以有效地降低输入输出矩阵的维数,减小计算量,能够自动适应网络拓扑结构的变化,在信息不完备的情况下给出正确的诊断结果,具有较好的通用性和容错性。

Owing to the fuzzy Petri net （FPN） for the complex power system fault diagnosis is unable to adapt to topology changes and it doesn＇t take the impact degree of protection and circuit breaker information on power system fault into consideration, a power system fault diagnosis method based on directional weighted fuzzy Petri nets （WFPN） is proposed. Firstly, this method can confirm interrupted districts by power network topology analysis. Secondly, the elements in interrupted districts are modeled on every fault spread direction. Finally, the universality in the condition of topology changes and the fault tolerance of the algorithm with incomplete information are analyzed. Simulation results on 14 buses power system indicate that the proposed method can decrease the dimension of inputs-outputs matrix efficiently and reduce calculation amount. And the method can adapt to topology changes automatically and obtain satisfying diagnosis results with incomplete information. It has good universality and fault tolerance ability.