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Charging Navigation Strategy of Electric Vehicles Considering Time-of-Use Pricing

机译:考虑使用时间价格的电动汽车充电导航策略

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This paper proposes a charging navigation strategy of electric vehicles (EVs) considering time-of-use (TOU) pricing, which takes into consideration both the charging demand of EV users and the revenue of EV charging station (EVCS) operators. Firstly, a spatial-temporal distribution of EVs in a day is given by a traffic simulation method. Then, by considering the impact of TOU price on charging navigation, an EV strategy including charging probability, charging energy, and charging station selection is proposed to minimize the costs of EVs. Based on the EV strategy, the optimal TOU charging price is formulated by EVCS operators to maximize the revenue under the given pricing rule. The simulation results show that the proposed method is not only beneficial to EVs and EVCSs, but also can effectively reduce the peak-valley difference of load profile and achieve the goal of peak load shifting.
机译:本文提出了考虑使用时间(TOU)定价的电动车辆(EVS)的充电导航策略,这考虑了EV用户的收费需求和EV充电站(EVC)运营商的收入。 首先,通过交通仿真方法给出一天中EV的空间 - 时间分布。 然后,考虑到TOU价格对充电导航的影响,提出了一种包括充电概率,充电能量和充电站选择的EV策略,以最小化EVS的成本。 基于EV策略,EVCS运营商制定了最佳的TOU充电价格,以最大限度地提高给定定价规则的收入。 仿真结果表明,该方法不仅有利于EVS和EVCS,而且还可以有效地降低负载曲线的峰值谷差,实现峰值负荷移位的目标。

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