Optimal Allocation for Electric Vehicle Rapid Charging Stations Based on Asaga

Abstract

Construction of rapid charging stations is one of the most important keys to the popularization of electric vehicles (EVs). This paper proposed a multi-objective electric vehicle rapid charging station planning model which considers the profits of users and charging stations. A sizing model is proposed based on queuing theory aiming at minimizing the capacity while satisfy the constraints. A locating model aiming at minimizing the construction cost of charging stations and the distance between users and charging stations simultaneously is proposed. The multiobjective problem is transformed into a single objective problem by utilizing weighting coefficients and the problem is solved by Adaptive Simulated Annealing Genetic Algorithm (ASAGA). Subsequently, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was utilized to obtain the terminal planning result. The simulation results have demonstrated the effectiveness and feasibility of the proposed model.