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Scheduling of electrical vehicle charging for a charging facility with single charger

机译:带有单个充电器的充电设施的电动汽车充电调度

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This paper proposes an algorithm to develop an optimum Electric Vehicle (EV) charging schedule for a charging facility with a single charger. Although there are many researches to address the developing of an optimum schedule for EV charging, current methods do not address this problem from the charging facility owner's perspective. We use a hybrid system framework to capture the tradeoff between demand charges proportional to the peak demand and speed of charging. However, this hybrid framework leads to a nonconvex and non-differentiable problem. This challenge is overcome by decomposing the problem into multiple smaller and simpler constrained convex optimization problems. With the resulting convex model proposed here, the minimum cost day ahead EV charging schedule can be determined from the charging facility owner's perspective. By using this tool, a day ahead, charging facility owner has the ability to set up prices based on the cost and customer has the ability to know the prices, the total waiting and the charging time at the charging facility. The nonlinear cost optimization model was developed by using a backward recursive algorithm. The proposed algorithm has been analyzed for different penalty factors which were imposed on total waiting time of each EV. Final results are analyzed and discussed.
机译:本文提出了一种算法,可为具有单个充电器的充电设施开发最佳的电动汽车(EV)充电时间表。尽管有许多研究致力于制定最佳的EV充电时间表,但从充电设施所有者的角度来看,当前的方法并未解决该问题。我们使用混合系统框架来捕获与高峰需求和充电速度成正比的需求费用之间的权衡。但是,这种混合框架导致了一个非凸且不可微的问题。通过将问题分解为多个更小和更简单的约束凸优化问题,可以克服此挑战。利用这里提出的结果凸模型,可以从充电设施所有者的角度确定提前一天的最低成本EV充电时间表。通过使用该工具,充电设备的所有者可以在一天之内根据成本来设置价格,而客户则可以知道价格,充电设备的总等待时间和充电时间。通过使用后向递归算法建立了非线性成本优化模型。针对每种电动汽车的总等待时间所施加的不同惩罚因素,对提出的算法进行了分析。最终结果进行了分析和讨论。

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