基于改进免疫克隆选择算法的电动汽车充电站选址定容方法

随着电动汽车渗透率的提高,充电基础设施规划应更加科学、合理,提出一种基于改进免疫克隆选择算法的电动汽车充电站选址定容方法。首先,分析充电站的容量、位置和服务范围之间的关系,以充电站的覆盖率和重合度、规划区域内的功率以及充电站的充电功率为约束条件,建立以充电站年总成本最小为目标的充电站选址定容模型。然后,提出一种抗体间亲和力的计算方法以及多项式变异对免疫克隆选择算法进行改进,使其更适用于电动汽车充电站选址定容模型的寻优迭代求解。最后,利用MATLAB进行算例分析,结果验证了模型和算法的有效性。

Siting and Sizing Method of Electric Vehicle Charging Station Based on Improved Immune Clonal Selection Algorithm

With the increasing penetration of electric vehicles, charging infrastructure planning should be more scientific and rational. A siting and sizing method of electric vehicle charging station based on the improved immune clonal selection algorithm (ICSA) is proposed. Firstly, the relationship between the capacity, location and service range of the charging station is analyzed. Taking the coverage and coincidence of the charging station, the power in the planned region, and the charging power of the charging station as constraints, a siting and sizing model of the charging station with the goal of minimizing the total annual cost of the charging station is established. Then, a method for calculating the affinity between antibodies and the polynomial mutation are proposed to improve the ICSA, making it more suitable for the iterative solution of the siting and sizing model for the electric vehicle charging station. Finally, example analysis is made in MATLAB, and the results verify the effectiveness of the model and the algorithm.