A Fast Fault Simulation Method of Distribution Network with Distributed Geration Based on Neural Petri Net

Since the traditional fault location method can no longer meet the requirements of safe and stable operation of distribution network with distributed generations, a fast fault simulation method of distribution network with distributed generations based on neural Petri net is proposed in this paper. According to the fault location rules of the Petri net, the segment fault simulation model of the distribution network with distributed generations is established based on the Petri net, and the segment fault simulation of the distribution network is realized by using matrix algorithm. In order to improve the self-learning ability of the fault diagnosis Petri net model, the neural network is combined with the traditional Petri net model, and the fast simulation model of distribution network fault based on the neural Petri net is established. The effectiveness of the proposed method is verified by a fault simulation example of the distribution network with distributed generations. The simulation results show that the combination of neural network and Petri net has strong fault reasoning ability and adaptive ability, which can realize the fault location quickly.