Research On Multi-Objective Optimization Of Battery Swapping Station With Wind Photovoltaic And Energy Storage

In order to meet the battery replacement demand of electric vehicles (EVs) and get rid of the dependence on traditional fossil energy, this paper proposes a new integrated mode of renewable energy sources (RES) and electric vehicles, named the EVs'battery swapping station(BSS) containing wind, photovoltaic(PV) and energy storage. The paper designs the power distribution system of the BSS, and also studies the coordination between the generating unit and load in this kind of BSS.Firstly, starting from the connection mode of RES and BSS, this paper studies the integrated mode of generating unit containing wind, PV and battery facilities and EVs' charging and discharging facilities in microgrid. Then, the power distribution system of the BSS is designed. Secondly, based on the output characteristics of the generating unit containing wind, PV and battery facilities, a new multi-objective optimization model for the operation of the BBS was established, in which the maximum renewable energy utilization ratio, the minimum load fluctuation and peak-valley difference were taken as the objectives, considering the constraints including the power balance, limits of charging power and reserve. Thirdly, the model was solved by dynamic multiple swarms in multi-objective particle swarm optimization based on the multiple-swarms and dynamic adaptive strategy. Finally, the results of simulation show that using the proposed model and algorithm can not only realize the local use of the RES, but also contribute to the load curve reduction of the grid.