Scheduling of wind-solar-storage microgrid based on adaptive mutation particle swarm
In order to overcome the shortcomings of traditional Particle Swarm Optimization,which is easy to form local optimum and has low solving accuracy,a method of microgrid scheduling based on Adaptive Mutation Particle Swarm Opti-mization(AMPSO)was proposed.The inertia weight of AMPSO is decreased by an adaptive normal distribution,and the movement strategy of the particle position is updated with the increase of the number of iterations,and the mutation link is introduced in the late stage of the algorithm.This paper compares the convergence performance with other improved algo-rithms,and solves the operating cost model of micro-grid under four typical weather conditions by simulation,and obtains the optimal scheduling.The results of calculation examples show that AMPSO can search and optimize the global optimal particle,and is better than other algorithms in solving the economic operation problems of micro grid.It can reasonably al-locate the output period of distributed power supply,and has a good feasibility.
万方数据
维普
