Fault Recovery Strategy of Distribution Network Based on Improved Genetic Algorithm and Particle Swarm Optimization

In order to guarantee and improve the stability, rapidity and correctness of power system fault recovery, the fault recovery strategy of distribution network with distributed power supply access is studied based on the improved genetic hybrid particle swarm optimization algorithm. Firstly, the model is constructed according to the distributed photovoltaic power supply connected to the distribution network. Then, the objective function is constructed by considering the three factors of recovering power-off load, switching operation times and network loss in the fault recovery period. The optimal fault recovery strategy is obtained by applying the improved genetic algorithm and particle swarm optimization algorithm. The simulation results show that the fault recovery strategy based on improved genetic algorithm and particle swarm optimization algorithm can recover power accurately and quickly.