基于文化烟花算法的电动汽车充电站规划研究

Layout Optimization of Electric Vehicle Charging Station Based on Cultural Fireworks Algorithm

针对电动汽车充电站规划问题,建立以最小化充电站服务与用户需求综合成本为目标的数学模型,并提出基于文化思想的改进烟花算法求解该问题。将烟花算法嵌入文化算法计算框架中,进行底层搜索寻优,提取其进化过程中的有用信息组成信仰空间知识。信仰空间以粒子群迭代规则更新知识并通过接受函数指导种群空间进化,以提高搜索效率。仿真实验结果证明,文化烟花算法在求解电动汽车充电站规划问题时具有良好的稳定性和较高的求解效率。

In order to optimize the layout of electric vehicle charging station,a mathematical model for the minimum gross costs of charginge station and users was established and an improved fireworks algorithm based on cultural algorithm was proposed.The initial fireworks algorithm was embedded in the computational framework of cultural algorithm to do the bottom search.The favorable information of the current optimal solution was taken as the knowledge of the belief space to guide the evolution direction of the fireworks through the acceptance function and improve the search efficiency.The simulation experiments show that the cultural fireworks algorithm has high stability and efficiency in solving the planning problem of electric vehicle charging station.