Optimization of Transmission Network Maintenance Scheduling Based on Niche Multi-objective Particle Swarm Algorithm

Taking the minimum maintenance cost and expected energy not supplied(EENS) as objective functions,this paper built a multi-objective optimization model for maintenance scheduling of transmission network and proposed an improved multi-objective particle swarm optimization algorithm based on niche technology for the built model.Through getting a set of Pareto optimal solutions,the model can coordinate the economic and reliability objectives of maintenance scheduling optimization problem.The algorithm used a niche sharing mechanism to update particle’s position so as to keep the diversity of solution and the uniformity of distribution.Besides,by means of leading in chaotic mutation to part of non-dominated particles,the global searching ability of the proposed algorithm was enhanced,and local optimum was also avoided.In order to make the algorithm apply to maintenance scheduling optimization problem better,this paper processed the constraints by using a penalty function,and selected the best compromise solution from the Pareto optimal solution set according to fuzzy membership degree,and provided the scientific decision basis for maintenance plan makers.Simulation of IEEE-RTS 79 bus system testify that this algorithm can avoid the premature phenomenon and local convergence effectively in solving transmission network maintenance optimization problem,and convergence to the Pareto optimal solution set rapidly.