Optimization Study of Microgrid Energy Storage System Based on Particle Swarm Algorithm and Whale Algorithm

In recent years, the development and utilization of renewable energy has become an important way to solve the global energy crisis and environmental pollution problems. This paper investigates the configuration of microgrids in parks, aiming to improve the utilization efficiency of renewable energy and the economy of power supply. Firstly, this paper analyzes in detail the key factors of the economic efficiency of the coordinated and optimized configuration scheme of wind and solar energy storage under the two modes of independent and joint operation of different park micro grids. Secondly, on the basis of the analyzed results, the optimal energy storage allocation scheme formulation model is constructed using particle swarm algorithm and whale algorithm respectively. Finally, the model is brought into different configuration scheme solving, and the result visualization of the final results proves the superiority of the model.