Research on optimal scheduling strategy of microgrid clusters based on NCPSO

The ordinary particle swarm optimization(PSO) algorithm is quite difficult to reach the target of global optimum in the process of optimizing microgrids, which leads to the high operation cost of microgrid. In this paper, the niche chaotic particle swarm optimization(NCPSO) algorithm was used to collaboratively optimize the operation strategy of hybrid microgrid clusters, so as to achieve the goal of regional microgrid economic optimization, environmental governance cost minimum, high utilization rate of renewable energy such as wind and solar energy. On the basis of the expected dispatching tactics, the best dispatching model including load model, economic benefit model and cost model under dynamic electricity price was established. The optimal operation state of multi microgrid in one cycle is obtained by using NCPSO algorithm, o as to realize the interactive regulation and spatial complementarity of comprehensive energy in microgrid clusters system. By analyzing the power interaction dynamics of microgrid groups, the generation of controllable energy and the state of charge of energy storage battery, the power load responding dynamic price of microgrid clusters is verified, which shows the superiority and effectiveness of NCPSO algorithm in optimizing operation of microgrid clusters. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.