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Continuous-time optimal charging control of plug-in Electric Vehicles

机译:插入电动车辆的连续时间最佳充电控制

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Plug-in Electric Vehicles (PEVs) are increasingly being adopted in order to reduce the environmental impacts of fossil fuel-based transportation sector. However, uncontrolled charging of a high number of PEVs may cause sharp and unexpected load spikes in power systems operation. In this paper, we propose a continuous-time optimal control model for optimal scheduling of aggregated PEV charging and generating units in day-ahead power systems operation. The aggregated population of PEVs is modeled by a queuing model, which facilitates incorporating two types of deadline-based and delay-based service quality constraints for PEV owners. Numerical results, provided for IEEE-RTS, demonstrates the effectiveness of the proposed control model in harvesting PEV charging flexibility to enhance the economic efficiency of the system operation.
机译:越来越多地采用插入电动车(PEV)以减少化石燃料运输部门的环境影响。然而,在电力系统操作中,不受控制的大量PEV的充电可能导致尖锐和意外的负载尖峰。在本文中,我们提出了一种连续时间最佳控制模型,用于在前方电力系统操作中的聚合PEV充电和发电机的最佳调度。 PEV的聚合群体由排队模型建模,这有助于包含两种类型的基于截止日期和基于延迟的服务质量限制。为IEEE-RT提供的数值结果表明了所提出的控制模型在收获PEV充电灵活性方面的有效性,以提高系统操作的经济效率。

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