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A probability transition matrix based decentralized electric vehicle charging method for load valley filling

机译:基于概率转移矩阵的分散式电动汽车充电谷填充方法

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This paper presents a decentralized control method to schedule EV (electric vehicle) charging loads to fill the overnight load valley while meeting customers' charging requirements. A PTM (probability transition matrix) is calculated at the aggregator side as the control signal to guide EV charging processes based on submitted EV charging schedules. Elements of the PTM represent the transition probabilities of moving a charging load from one time period to another. At the EV side, each EV individually updates its charging schedule according to its charging requirements and the PTM. Then the updated schedules are sent back to the aggregator. This process is repeated iteratively until convergence. In this method, no optimal control problems need to be solved locally so that its implementation on the EV side requires low computation capability. Simulation results show that the proposed method can create desired EV charging schedules for load valley filling within only several iterations, making it suitable for real-time implementation. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文提出了一种分散控制方法,可在满足客户充电要求的同时安排EV(电动汽车)充电负荷,以填补通宵负载谷。在聚合器侧计算PTM(概率转换矩阵)作为控制信号,以根据提交的EV充电时间表指导EV充电过程。 PTM的元素表示将充电负载从一个时间段移动到另一个时间段的转移概率。在EV端,每个EV根据其充电要求和PTM分别更新其充电时间表。然后,将更新的计划发送回聚合器。反复重复此过程,直到收敛为止。在这种方法中,无需在本地解决最佳控制问题,因此在EV端实施该方法所需的计算能力较低。仿真结果表明,该方法仅需几次迭代就可以创建理想的EV充电时间表,以实现负荷谷的填充,从而使其适合于实时实施。 (C)2015 Elsevier B.V.保留所有权利。

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