In order to solve the shortcomings of traditional orderly charging strategy, such as the inability to accurately respond to EV load, the difficulty to formulate an effective charging strategy and the lack of positive response from users. In this paper, a novel interactive network model of distribution network and electric vehicles is constructed. The optimization factor is assigned to the charging station, so that the scheduling for electric vehicles is no longer random. Further based on the time‐of‐use price for the charging, the multi‐objective orderly charging model from the point of both users and power grid is established. The minimum charge cost and the minimum variance of load are taken as the multi‐ objective function with the constraints of charging demand and rated capacity of transformer. Finally, the simulation by NSGA‐II on different numbers of electric vehicles shows that the proposed orderly charging strategy can significantly reduce the charging cost and load peak valley for a certain scale of electric vehicles charging. It is beneficial to ensure the safety and stability of the distribution network and improve users satisfaction. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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基于交互式网络模型的电动汽车多目标有序充电策略

为了解决传统的有序充电策略的缺点，如不能准确地响应电动汽车负荷，制定有效的充电策略困难，用户缺乏积极反应等。本文建立了一种新型的配网与电动汽车互动网络模型。将优化因子分配给充电站，以使电动汽车的调度不再是随机的。进一步根据充电的分时电价，从用户和电网角度建立了多目标有序充电模型。在充电需求和变压器额定容量的约束下，将最小充电成本和最小负载变化作为多目标函数。最后，NSGA-II对不同数量的电动汽车进行的仿真表明，对于一定规模的电动汽车充电，所提出的有序充电策略可以显着降低充电成本和降低负荷峰值谷。确保配电网络的安全性和稳定性并提高用户满意度是有益的。©2021日本电气工程师学会。由Wiley Periodicals LLC发布。