Optimization Algorithm of Power Supply Equipment Maintenance Scheduling and Its Application in Regional Power Network

According to actual condition of maintenance scheduling arrangement of a certain regional power company,a maintenance scheduling optimization model that can satisfy the demand of regional power company is built.Based on the range of supply interruption the proposed model generates variable set,and takes the minimum deviation from the due maintenance time of equipments and most reasonable distribution of workload as objective function,then by use of chaos particle swarm optimization(CPSO) the model is solved.The proposed method divides all particles into several particle sub-clusters,during the drawing of particles close optimal point the chaotic search is implemented in the solution space and the historical optimal value of particles is updated.Through the calculation example from a certain regional power network,the calculation results by CPSO algorithm,genetic algorithm(GA) and standard particle swarm optimization(PSO) algorithm respectively are compared.Comparison result shows the global search ability and convergence performance of CPSO is better than that of GA and standard PSO,thus it is available in engineering application.