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Multi-Objective Grid Scheduling for Battery Exchange Stations in Battery Consolidation Systems

机译:电池整合系统中电池交换站的多目标网格调度

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In this paper, we study the grid scheduling problem in a battery exchange station (BES) as a part of the battery consolidation system (BCS). We define the grid scheduling problem as the BES's service scheduling to exchange batteries of electric vehicles (EVs), the battery exchange price scheduling, and the electricity buying scheduling for a day ahead. We mathematically formulate the problem as a multi-objective optimization problem which aims at maximizing the BES's income and EVs' satisfaction, subject to the constraints of servicing all EVs arrived in the BES during a day, the limitation on the amount of buying electricity, and the limitation on the available full batteries at the beginning of the day. The stated problem is non-convex. To construct a convex problem, we apply the McCormick envelopes method. Subsequently, we solve the problem by CVX. Our simulation outcomes show that the BES can efficiently schedule the service, the battery exchange price, and the electricity buying based on the electricity price and the EVs' arrival distributions for a day ahead by applying our proposed method.
机译:在本文中,我们研究了电池交换站(BES)中的网格调度问题作为电池整合系统(BCS)的一部分。我们将网格调度问题定义为BES的服务调度,以交换电动汽车电池(EVS),电池交换价格调度和提前一天的电力购买调度。我们在数学上制定问题作为一种多目标优化问题,旨在最大限度地提高BES的收入和EVS的满意度,而是通过服务的所有EVS在一天中抵达BES的限制,对购买电量的限制,以及购买电量的限制在一天开始的可用全电池的限制。所述问题是非凸的。要构建凸面问题,我们将McCormick信封方法应用。随后,我们通过CVX解决问题。我们的模拟结果表明,通过应用我们提出的方法,BES可以有效地安排服务,电池交换价格和基于电力价格的电力价格和EVS到达分布。

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