Planning of Electric Vehicle Charging Stations Based on Improved Beetle Antennae Search Algorithm

Electric vehicle (EV) is the main development direction of future travel tools. The layout of EV charging facilities will affect the promotion of the whole industry. Hence, the layout of charging facilities is studied with full consideration of user behavior in this paper. Firstly, the travel chain based on Latin hypercube sampling is applied to forecast the charging load distribution of electric vehicles (EVs). Secondly, aiming at minimizing the total cost, a charging network programming model is established. The total cost is the sum of the minimum sum of the annual cost of charging station and extra cost of EV users during charging. The improved beetle antennae search (BAS) algorithm is applied to settle the programming model. In the end, MATLAB simulation software is applied to establish the network structure of IEEE 33-node distribution and traffic system. The proposed planning method is applied to plan this network structure. The simulation results show that this model can solve the problem of charging station planning and the search speed and results of the improved algorithm are also improved.