Research on Fault Recovery and Reconstruction Algorithm of Distribution Network with Distributed Generation

To minimize the active power loss, a fault recovery and reconstruction model of distribution network with distributed generation is established. Aiming at the problem of weak global search ability, easy to fall into local optimum and unstable calculation results of binary particle swarm optimization (BPSO), an improved binary particle swarm optimization (IBPSO) is proposed, which dynamically adjusts inertia weight and learning factor and introduces crossover and mutation operation of genetic algorithm. Taking the IEEE 33-node power distribution system with distributed power generation as an example, the model and algorithm are simulated and analyzed, and radial topology constraints are proposed to avoid generating a lot of infeasible solutions. The simulation results show that the proposed algorithm can not only obtain the global optimal solution, but also improve the solution efficiency and convergence speed significantly.