The randomness and intermittent nature of photovoltaic power generation lead to low resource utilization

and energy storage has the characteristics of flexible control and rapid response. It is currently one of the effective means to solve photovoltaic grid connection and improve consumption. At present

the high investment cost of energy storage is the key to restrict its promotion and application. Therefore

the optimal configuration method of energy storage in distributed photovoltaic systems is studied from the perspective of cost. Firstly

take the investment and operating cost of distributed energy storage system as the goal

a two-layer optimization model is established while considering the storage access location

configuration capacity

state of charge

and grid operation status as constraints. And then the optimization model solution method is introduced

that is

the outer layer uses genetic algorithm to optimize energy storage configuration location

power and capacity

and the inner layer uses particle swarm algorithm combined with MATPOWER power flow calculation tool to optimize the daily operation strategy of energy storage. Finally

the IEEE 9-node system is used in Matlab software to verify the feasibility and effectiveness of the proposed optimal configuration method.