Reconfiguration Strategy of Distribution Network Based on Hatchable Particle Swarm Optimization

With the development of automation, distribution network reconfiguration is aiming at bringing economy and reliability to the network. Particle swarm optimization is a kind of intelligent algorithm used to deal with network reconfiguration. But it has the defect which is easy to fall into the local optimum. In order to improve the defect, this paper proposes the hatchable particle swarm optimization. First, the mathematical model of distribution network reconfiguration is established. Then, this paper adds the hatching idea of oviparous animals in nature into the algorithm, so that the algorithm gains the ability to hatch more individuals which have great chance to have greater fitnesses. Next, this paper adopts dynamic parameters of the algorithm instead of static ones. Due to these improvements, the global searching ability of the particle swarm is strengthened, and the solving speed of the algorithm has been enhanced. Finally, the advantages of the new algorithm are verified by simulation of IEEE33 nodes distribution network system in both ordinary and failure recovery situations, which show the greater optimization ability and convergence performance of hatchable particle swarm optimization.