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A smart charging algorithm for integration of EVs in providingprimary reserve as manageable demand‐side resources

机译:一种智能充电算法,用于集成EVS提供主要储备作为可管理的需求侧资源

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摘要

In this paper an efficient algorithm for simultaneous scheduling of energy and primaryreserve with the presence of smart electric vehicles in the system is discussed.It is proposed that the system operator uses the electric vehicles (EVs) as alternativeresources of primary reserve in the power system. The proposed model deals withthe effect of generation scheduling on the EV charging schedules and primaryreserve capacities. In fact, the amount of primary reserve provided by EVs is highlyrelated to the EV’s charging schedules. Therefore, in this paper a smart chargingalgorithm is also proposed that is based on direct load control of EVs by the systemoperator. The proposed scheme would be applicable with the lowest intelligencelevel and will not impose extra investment cost to the EV owners. All the nonlinearconstraints included in the primary reserve scheduling are linearized to be solvableby mixed integer linear programming method. A case study on IEEE RTS79 systemwith 30% EV penetration is used to illustrate the feasibility and acceptable performanceof the proposed method. The influence of EVs’ participation on operationcosts, load curve, and EV bills is discussed.
机译:本文以能源和初级同时调度的高效算法讨论了系统中存在智能电动车的储备。建议系统操作员使用电动车(EVS)作为替代品电力系统初级储备资源。拟议的模型涉及发电调度对EV充电时间表和主要的影响储备能力。事实上,EVS提供的主要储备金额很高与ev的收费计划有关。因此,在本文中智能充电还提出了算法,其基于系统的EVS直接负载控制操作员。拟议计划将适用于最低智力水平并不会将额外的投资成本施加到EV业主。所有的非线性包括在主储备调度中的约束是可解决的通过混合整数线性编程方法。 IEEE RTS79系统案例研究使用30%的EV渗透用于说明可行性和可接受的性能提出的方法。 EVS参与运作的影响讨论了成本,负载曲线和ev账单。

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