Research on Capacity Optimization Method of Optical Storage Charging System Considering Different Charging Strategies of Electric Vehicles

With the rapid growth of electric vehicles and distributed photovoltaic access on a large scale, the carrying capacity of the rural distribution network needs to be further improved. A capacity optimization method for optical storage systems considering different charging strategies for electric vehicles is proposed. Its characteristic is to consider the charging strategy of electric vehicles and select the best power configuration scheme with the lowest power supply cost. Firstly, an optimization planning model for energy storage is established for rural power grids. The model aims to minimize power supply costs and is a nonlinear optimization model with energy storage installed capacity and grid connection location as decision variables; Secondly, the local L index method is used to determine the access location of energy storage devices. It can effectively reduce the impact of renewable energy on grid voltage and improve the effectiveness of energy storage in supporting new energy access. Then, from the perspective of balancing calculation speed and control accuracy, a simplified two-step calculation method is adopted to solve the temporal operation status of energy storage; Finally, the effectiveness of the proposed method was demonstrated through a typical village level distribution network.