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Electric Vehicle Charging in Residential Day-Ahead Real-Time Pricing

机译:电动车辆在住宅日期的实时定价

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In this paper, we consider an electric vehicle (EV) charging schedule together with appliance scheduling in a residence under a day-ahead real-time pricing scheme (DA-RTP). Among demand response (DR) programs, EVs are an important resource for reducing energy cost due to high flexibility in energy scheduling. On the other hand, the required amount of energy to charge an EV has a counter effect on cost reduction. In a scheduling problem, a constraint on state-of-charge (SoC) of an EV when departing could be a factor in increased cost. Thus, instead of the constraint, we introduce a dissatisfaction at SoC when departing in the objective of the scheduling problem. We formulate our scheduling problem for minimizing a consumer's total dissatisfaction as a mixed-integer nonlinear programming (MINLP) problem since we consider shiftable but uninterruptible loads, which need an On/Off decision. We adopt an outer approximation algorithm to efficiently obtain an optimal solution.
机译:在本文中,我们考虑一种电动车(EV)充电时间表以及在前方实时定价方案(DA-RTP)下的住所中的设备调度。 在需求响应(DR)计划中,EVS是由于能源调度的高度灵活性降低能源成本的重要资源。 另一方面,对EV充电所需的能量有对成本降低的反应。 在调度问题中,当偏离时,EV的充电状态(SoC)的约束可能是增加成本增加的因素。 因此,而不是约束,我们在脱离调度问题的目的时对SoC的不满。 我们制定了我们的调度问题,以便最大限度地减少消费者的总不满意作为混合整数非线性编程(MINLP)问题,因为我们考虑了可移动但不间断的负载,需要开/关决定。 我们采用外近似算法能够有效地获得最佳解决方案。

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