Network Reconfiguration Of Shipboard Power System Basedon Improved Particle Swarm Optimization Algorithm

Network reconfiguration of shipboard power system is an important part of intelligent management system of modern ship electric power system as well as an important way to improve the vitality of ships. The fault area can be automatically isolated immediately after the failure of the power grid, and then a reliable reconstruction scheme will be calculated to adjust the network structure to make the ship continue to sail and perform the task. This is the implication of network reconfiguration for ship power system.First of all, the three kinds of ship power network structure are introduced. The ring network is selected as the object model. Then the objective function and constraint conditions of the ship power system network reconfiguration are built.Secondly, the method of generating load branch correlation matrix is introduced. Then the ship power load branch correlation matrix and its search mechanism are provided to determine the specific ways of the generator efficiency and system capacity.Again, the basic particle swarm optimization algorithm is introduced. On this basis, the basic particle is improved. Algorithm is added to the mutation operation. Based on the analysis of diversity, the fuzzy controller is designed. The input arguments of the fuzzy controller are population optimization of different stages, fitness and population diversity. The output arguments are the variation rate and inertia weight variation. According to the fuzzy controller, the dynamic adjustment of variance and inertia weight are dynamical adjusted. Then the improved particle swarm optimization algorithm is applied to the simulation of network reconfiguration of shipboard power system.At last,double sub-swarms particle swarm optimization(DSPSO) is described in detail. Particle swarm optimization algorithm is divided into two groups to cooperatively evolve.The pseudo mutation strategy is introduced into the main group to improve the accuracy of the algorithm.Climbing location update strategy is adopted to assist the population, and the convergence rate of the algorithm has been greatly improved.Simulation results show that DSPSO can solve the problem of network reconfiguration and provide a better reconstruction scheme in a short period of time.