Abstract:

In response to the intermittent and fluctuating challenges brought about by the large-scale integration of distributed photovoltaic power into the distribution network, a dual-layer optimal configuration method for energy storage is proposed. The upper-level model aims at maximizing comprehensive economic benefits and optimizes the determination of the capacity and installation location of the energy storage system. The lower-level model aims to minimize the operation cost of the system and optimizes the charging and discharging strategy of the energy storage system. The solution method combining the particle swarm optimization algorithm with mixed integer linear programming is adopted to achieve the coordinated optimization of the two-layer model. The case analysis results show that the proposed method can effectively increase the photovoltaic consumption rate by 15.3%, reduce the network loss by 12.8%, and enable the net present value of the entire life cycle of the energy storage system to reach 3.265 million yuan with an internal rate of return of 11.8%. The research verifies the economic effectiveness of the dual-layer optimized configuration strategy, and provides theoretical support and practical reference for the energy storage configuration of high-proportion distributed photovoltaic grid connection.

Key words: distributed photovoltai, energy storage system, double-layer optimization, capacity configuration, operation strategy