首页> 外文期刊>International journal of RF and microwave computer-aided engineering >A smart charging algorithm for integration of EVs in providingrnprimary reserve as manageable demand‐side resources
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A smart charging algorithm for integration of EVs in providingrnprimary reserve as manageable demand‐side resources

机译:一种智能的充电算法,可将电动汽车集成在提供基本储备作为可管理的需求方资源中

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摘要

In this paper an efficient algorithm for simultaneous scheduling of energy and primaryrnreserve with the presence of smart electric vehicles in the system is discussed.rnIt is proposed that the system operator uses the electric vehicles (EVs) as alternativernresources of primary reserve in the power system. The proposed model deals withrnthe effect of generation scheduling on the EV charging schedules and primaryrnreserve capacities. In fact, the amount of primary reserve provided by EVs is highlyrnrelated to the EV’s charging schedules. Therefore, in this paper a smart chargingrnalgorithm is also proposed that is based on direct load control of EVs by the systemrnoperator. The proposed scheme would be applicable with the lowest intelligencernlevel and will not impose extra investment cost to the EV owners. All the nonlinearrnconstraints included in the primary reserve scheduling are linearized to be solvablernby mixed integer linear programming method. A case study on IEEE RTS79 systemrnwith 30% EV penetration is used to illustrate the feasibility and acceptable performancernof the proposed method. The influence of EVs’ participation on operationrncosts, load curve, and EV bills is discussed.
机译:本文讨论了一种在系统中存在智能电动汽车的同时调度能源和主要储备的有效算法。提出了系统运营商将电动汽车(EV)用作电力系统主要储备的替代资源的建议。所提出的模型处理了发电调度对电动汽车充电调度和主备用容量的影响。实际上,电动汽车提供的基本储备金与电动汽车的充电时间表高度相关。因此,本文还提出了一种智能充电算法,该算法基于系统调节器对电动汽车的直接负载控制。拟议的方案将以最低的智能水平适用,并且不会对电动汽车所有者造成额外的投资成本。通过混合整数线性规划方法将一次储备调度中包括的所有非线性约束线性化为可求解的。以EV渗透率为30%的IEEE RTS79系统为例,说明了该方法的可行性和可接受的性能。讨论了电动汽车的参与对运营成本,负荷曲线和电动汽车账单的影响。

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