Abstract: Uncertainty information and processing in the location problem of electric vehicle charging station is a difficult point in planning, so we have to pay extra attention to the influence of the geographical information, grid loss, uncertain load and so on. An optimal function has to be established by considering the comprehensive expense of the geographical information, the construction cost and the operation cost. This objective function aims to reflect the essence of the electric vehicle charging station planning problem in terms of the constraints of the service radius and the charging demand. In addition to establishing this function, due to the randomness and fuzziness of the uncertain factors, we have adopted the random fuzzy techniques into our proposed model. At the same time, the introduction of chaotic sequences further optimizes the algorithm. Case analysis shows the feasibility and superiority of our proposed algorithm.

Key words: Electric vehicle, charging station, cultural algorithms, uncertainty, fuzzy expectation

摘要： 电动汽车充电站选址定容问题中的不确定性信息以及处理是规划的难点，着重考虑地理信息、电网损耗、负荷不确定性等对该问题的影响。建立考虑地理信息、建造成本运行成本等综合费用为最优的目标函数。此目标函数以服务半径、充电需求为约束条件，科学全面反映出电动汽车充电站规划问题的实质。针对不确定性因素的随机性和模糊性，采用随机模糊技术将其影响计入模型。利用改进的差分文化算法来解决电动汽车充电站规划问题。与此同时，引入混沌序列对算法进一步优化。案例分析表明方法的可行性及优越性。

关键词: 电动汽车, 充电站, 文化算法, 不确定性, 模糊期望