Research on Cooperative Optimal Dispatching Strategy of PV-Storage-Charging-Swapping Integrated Station Based on Particle Swarm Optimization

Abstract

The establishment of an integrated charging station with PV, energy storage and battery swapping not only meets the different charging and replacement needs of electric vehicle users, but also takes into account the economic benefits of the charging station operating company and the safety of the power grid. In this paper, by analyzing the electrical structure and operation mode of the integrated charging station, and establishing the operation model of each system, this paper proposes a collaborative optimization Dispatching strategy that aims at the minimum operating cost of the integrated charging station, using particle swarm optimization (PSO) algorithm to solve the problem, and optimize the grid and energy storage output plan according to the relevant constraints and combined with the grid power price and electric vehicle charging and replacement demand and other relevant predicted values, thereby reducing the operating cost of the integrated charging station and reducing the load of the charging station peak-valley difference.