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Pricing-Based Decentralized Balancing Control for Charging Stations

机译:基于定价的充电站的分散平衡控制

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As the number of electric vehicles (EVs) is increasing, a balancing control is needed to decrease the charging delay for EV users and increase the overall number of charged EVs for a charging station (CS) service provider. This paper suggests the local pricing-based decentralized balancing control algorithm to balance the power demand and the number of EVs at each CS. The CSs choose the charging costs according to the power demand, and the probability of sending beacon message is controlled according to the queued ratio. When receiving the beacon messages, each EV chooses the CS with the lowest cost. Simulation results showed that the suggested algorithm could balance the parked pad ratio and the charging power ratio of multiple CSs. Furthermore, the number of completely charged EVs was increased and the quality of service was also increased due to the reduction of charging delay. In conclusion, the suggested algorithm can improve the overall performance at the local area from the perspective of both charging service provider and EV users.
机译:随着电动车辆的数量(EVS)正在增加,需要平衡控制来降低EV用户的充电延迟,并增加充电站(CS)服务提供商的带电EV的总数。本文建议将基于本地定价的分散平衡控制算法平衡电源需求和每个CS的EVS数量。 CSS根据电源需求选择充电成本,并根据排队比率控制发送信标消息的概率。当接收到信标消息时,每个EV都选择具有最低成本的CS。仿真结果表明,建议的算法可以平衡多个CSS的停放垫比和充电功率比。此外,由于收费延迟的降低,完全带电的EVS的数量增加,服务质量也增加了。总之,从充电服务提供商和EV用户的角度来看,建议的算法可以提高当地区域的整体性能。

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