Automatica ( IF 4.8 ) Pub Date : 2021-06-10 , DOI: 10.1016/j.automatica.2021.109746 Marco Casini , Antonio Vicino , Giovanni Gino Zanvettor
The increased penetration of plug-in electric vehicles asks for efficient algorithms to be adopted in parking lots equipped with charging units. In this paper, the peak power minimization problem for a plug-in charging station is addressed. A chance constraint approach is adopted in order to minimize the daily peak power, allowing for a tolerance on the charging service customer satisfaction expressing the probability that a vehicle leaves the station violating the agreed level of charge. Numerical simulations are provided to evaluate the performance of the proposed approach as well as to make a comparison with other techniques.
中文翻译:
电动汽车充电站峰值缓解的机会约束方法
插电式电动汽车日益普及,要求在配备充电装置的停车场采用高效算法。在本文中,解决了插入式充电站的峰值功率最小化问题。采用机会约束方法以最小化每日峰值功率,允许对表示车辆离开充电站违反约定充电水平的可能性的充电服务客户满意度进行容忍。提供了数值模拟来评估所提出方法的性能以及与其他技术进行比较。