Optimal Configuration of Optical Storage Micro-grid Hybrid Energy Storage Capacity Based on IPMOCSA

Aiming at the capacity optimization allocation problem of hybrid energy storage in photovoltaic micro-grid, the system economic optimization model was established by taking the interactive power cost of micro-grid and large grid as the objective, and an improved multi-objective crow search algorithm is proposed to solve the problem and obtain the optimal allocation results. Considering the time-of-use electricity price to design the system operation strategy of the micro-grid, establish the operating cost model of the system, and build the investment model of different types of energy-storing media. Using improved multi-objective crow search algorithm as the goal of economic optimization, the optimal allocation ratio of different types of energy storage media is obtained, and the multi-objective particle swarm optimization is used to verify the examples. The results show that the proposed improved multi-objective crow search algorithm solution has higher accuracy and convergence speed. The cost of hybrid energy storage configuration is saved by 5.13%, and the configuration method has certain reference for practical applications.