DEA-based multi-stage planning method of electric vehicle charging facilities considering coupling of transportation network and distribution network

In recent years, the rapid growth of electric vehicles has brought about an increase in the demand for charging facilities. However, currently there are widespread problems such as the mismatch between the number of charging facilities and the scale of electric vehicles, the unreasonable layout, and so on. The reason is that the planning of charging facilities does not take into account the planning time sequence and the demand of transportation network. Therefore, a multi-stage planning method of electric vehicle charging facilities considering the coupling of transportation network and distribution network is proposed. Firstly, based on the principle of Nesterov user equilibrium, a coupling model of transportation network and distribution network is built, and Monte Carlo sampling method is used to generate traffic flow distribution in multiple scenarios. Then, the planning cycle is divided into several stages and the data envelopment analysis method-based multi-stage planning model is established with the optimization objectives of user charging satisfaction degree, economy and voltage fluctuation. Finally, taking the coupling network composed of IEEE 33-bus distribution network and 12-node transportation network as an example, the improved free search algorithm is used to solve the model to obtain the optimal configuration scheme of each stage. Simulative results show that the proposed planning method can make the scale of charging facilities better match the increase of the number of electric vehicles. © 2022 Electric Power Automation Equipment Press. All rights reserved.