A method of synthetical fault diagnosis for power system based on fuzzy hierarchical Petri net

To minify the scale of Petri net and improve both accuracy and adaptability of power system fault diagnosis, a model of fuzzy hierarchical Petri net with multi subnets is proposed, in which different effects of main protection, local backup protection and remote backup protection are considered, and different weights are assigned to output arcs transited to termination places in protection subnets, and then the Gaussian function to solve output probabilities of the transition is modified The reasoning process based on matrix operations is given. The effectiveness of the proposed fuzzy hierarchical Petri net is verified by results of multi groups of test cases, and test results show that correct fault diagnosis results can be obtained under incomplete information or variation of network topology.