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Intelligent dispatch of Electric Vehicles performing vehicle-to-grid regulation

机译:电动汽车的智能调度执行车辆到电网的调节

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Electric vehicles (EVs) have the potential to provide valuable services to the utility grid through vehicle-to-grid (V2G). In order to take full advantage of V2G services aggregators are required to schedule and dispatch large groups of EVs in accordance to market rules. While there has been many studies looking at aggregator scheduling algorithms, there has been little work on algorithms for the actual dispatch. A commonly assumed method of incremental dispatch faces challenges of more expensive charging station costs and high communications overhead. In this work a dispatch algorithm for EVs performing unidirectional regulation is developed. This algorithm switches EV charging stations on and off using remote switches to meet the system regulation signal. The decisions on which EV to switch is made using charging priorities. This dispatch algorithm allows for less expensive infrastructure and a significant reduction in the required communications signals. Simulations on a group of 1000 EVs in the ERCOT system over a 24 hour period verify the performance of this dispatch algorithm against incremental dispatch algorithms.
机译:电动汽车(EV)有潜力通过车对网(V2G)为公用事业电网提供有价值的服务。为了充分利用V2G服务,聚合商需要根据市场规则调度和调度大量的EV。尽管有许多研究着眼于聚合器调度算法,但针对实际调度的算法却鲜有研究。通常假定的增量调度方法面临着更昂贵的充电站成本和高通信开销的挑战。在这项工作中,开发了一种用于电动汽车执行单向调节的调度算法。该算法使用远程开关打开和关闭EV充电站,以满足系统调节信号。使用充电优先级来决定切换哪个EV。这种调度算法可以降低基础设施的成本,并大大减少所需的通信信号。在24小时内对ERCOT系统中的一组1000辆EV进行的仿真验证了该调度算法相对于增量调度算法的性能。

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