基于实时电价响应的电动出租车充电负荷优化策略

与电动私家车相比，电动出租车充电负荷高得多且难以预测。因此电动出租车不可控的充电负荷可能会给配电系统带来巨大且无法预测的峰值，并造成严重损害。为解决该问题，本文提出了一种基于实时电价响应的电动出租车充电负荷优化策略，该策略可以有效调节充电负荷用来跟踪给定的负荷曲线。策略设计包括三个步骤，首先根据应用场景，简化电动出租车最佳充电决策。然后，提出了两种充电负荷聚合模型，分别描述了充电决策和实时电价之间的关系，以及充电决策和总电量之间的关系。最后，提出了一种有效的在线估计方法来计算适当的实时电价，以使充电负荷跟踪目标负荷，作为对价格的响应。仿真结果验证了所提策略的有效性。

Optimization strategy of electric taxi charging load based on real-time electricity price response

Compared with ordinary private electric vehicles, the charging load of electric taxis is much higher and difficult to predict. Therefore, the uncontrollable charging load of electric taxis may bring huge and unpredictable peaks to the distribution system and cause serious damage. To solve this problem, this paper proposes a real-time pricing strategy, which can effectively adjust the charging load to track the given load curve. The strategy design includes three steps. First, according to the application scenario, simplify the optimal charging decision of electric taxi. Then, two charging load aggregation models are proposed to describe the relationship between charging decision and real-time electricity price, and between charging decision and total electricity. Finally, an effective online estimation method is proposed to calculate the appropriate real-time electricity price, so that the charging load can track the target load as a response to the price. Simulation results verify the effectiveness of the proposed strategy.