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In view of the waste of photovoltaic power caused by unstable photovoltaic power generation and the excessively high battery cost caused by unreasonable charging and discharging of energy storage batteries. In the context of time-of-use electricity prices, an optimized control strategy for photovoltaic storage systems is proposed. First, establish a grid-connected model of the optical storage system. Combining user power consumption characteristics, photovoltaic output and time-of-use electricity prices. Comprehensively considering the revenue of the optical storage system and the loss of energy storage batteries while meeting the power balance of the optical storage system and the constraints of energy storage batteries cost. On this basis, the fuzzy processing method is used to turn the multi-objective problem into a single-objective problem. Taking the user"s highest economic benefit as the ultimate optimization goal, construct a net income optimization model. Then, the improved gray wolf algorithm is used to optimize the solution. Finally, the simulation results show that the proposed strategy brings higher economic benefits to users in the case of time-of-use electricity prices.