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Coordinated charge management for battery electric vehicles: Operation management of charging infrastructures for battery electric vehicles considering vehicle, infrastructure, and grid constraints

机译:电池电动车的协调充电管理:考虑车辆,基础设施和电网约束的电池电动车充电基础设施的运营管理

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摘要

Compared to refueling gasoline powered vehicles, the charging of battery electric vehicles (BEVs) takes considerably more time which renders a single-purpose charging infrastructure inconvenient. More likely, the charging stations will be integrated into the parking infrastructure (parking decks, public, private and commercial parking sites). On average the duration of the parking will be longer than the duration of the charging process which creates a potential for load shifting. In turn this implies that the rated power of large charging infrastructures can be chosen to be smaller than the sum of rated powers of all charging points, provided that the load shifting potential can be activated. In this paper a complete description of the problem at hand is given in terms of a mixed integer linear program which can readily be integrated into the operation management of charging infrastructures. It allows to coordinate the charging processes of multiple BEVs to fully exploit the load shifting potential while taking into account the limitations of the distribution grid, the charging infrastructure, and the BEVs. In addition to ensuring the safety of the operation, the objective of the optimization can be adapted to set use-case specific incentives.
机译:与给汽油动力汽车加油相比,电池电动汽车(BEV)的充电时间要长得多,这给单一用途的充电基础设施带来了不便。充电站将更可能整合到停车基础设施中(停车甲板,公共,私人和商业停车位)。平均而言,停车的时间将长于充电过程的时间,而充电过程会导致负载转移。反过来,这意味着可以将大型充电基础设施的额定功率选择为小于所有充电点的额定功率之和,前提是可以激活负载转移电位。本文根据混合整数线性程序对当前问题进行了完整描述,该程序可以轻松集成到充电基础设施的运营管理中。它允许协调多个BEV的充电过程,以充分利用负载转移潜力,同时考虑配电网,充电基础设施和BEV的局限性。除了确保操作的安全性之外,优化的目的还可以调整为设置用例特定的激励措施。

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