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首页> 外文会议>IEEE Sustainable Power and Energy Conference >Queueing Theory-Based Optimal Decision-Making Model of Battery Energy Storage-Assisted Fast Charging Station Participating in Emergency Demand Response
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Queueing Theory-Based Optimal Decision-Making Model of Battery Energy Storage-Assisted Fast Charging Station Participating in Emergency Demand Response

机译：排队理论为基于理论的电池能量存储辅助快速充电站的最优决策模型参与紧急需求响应

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摘要

With concerns about greenhouse gases emission in the transportation sector, governments all over the world favor the adoption of electric vehicle (EV), and advance the construction of charging facilities. The allocation of battery energy storage (BES) can improve the economics and flexibility of EV charging station. The emergency demand response (EDR) program is widely popular among consumers because of its flexibility and high incentive payments. In this paper, an optimal decision-making model of BES-assisted EV charging station participating in EDR is proposed. The queueing model is established to describe the EV charging station load profile, where the arrival rate and the service rate of EVs at the charging station is estimated through Poisson process and battery charging behaviors respectively. The mobility patterns of vehicles are generated via National Household Transportation Survey (NHTS) data set. EV charging station load profiles are obtained from the queueing analysis, and they are integrated in the proposed decision-making model with consideration of EDR for BES-assisted EV charging station. The feasibility of the model is validated in different case studies, and the result shows that the deployment of BES is beneficial to the optimal operation strategy of fast charging stations.
机译：令担心运输部门的温室气体排放，世界各国政府都赞成采用电动汽车（EV），并推进充电设施的建设。电池储能（BES）的分配可以提高EV充电站的经济性和灵活性。由于其灵活性和高奖励支付，紧急需求响应（EDR）计划在消费者中广泛流行。本文提出了参与EDR的BES辅助EV充电站的最佳决策模型。建立排队模型以描述EV充电站负载轮廓，其中通过Poisson工艺和电池充电行为估计充电站处的EVS的到达率和服务速率。车辆的移动模式是通过国家家庭运输调查（NHTS）数据集产生的。 EV充电站负载型材是从排队分析中获得的，并考虑到BES辅助EV充电站的EDR，集成在所提出的决策模型中。模型的可行性在不同的情况下验证，结果表明，BES的部署有利于快速充电站的最佳运行策略。

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