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Cost/comfort-oriented optimization algorithm for operation scheduling of electric water heaters under dynamic pricing

机译:动态定价下面向成本/舒适度的电热水器运行调度优化算法

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This paper presents a heuristic algorithm, which schedules the operation of electric water heaters (EWHs) under dynamic electricity pricing. The algorithm takes into account cost and comfort preferences/constraints as well as energy pricing and hot water consumption and minimizes the energy cost without significant compromise of the perceived comfort level, operating either in a cost- or comfort oriented mode. Its performance was evaluated through simulation assuming a day-ahead real-time pricing (DA-RTP) tariff and a time-varying bound on power consumption, taking into account the user's daily hot water consumption rate. A comparison between the proposed heuristic algorithm and an optimal scheduling algorithm showed identical performance, in terms of energy cost reduction. Also, a parametric analysis studied the effect of several critical parameters (maximum water tank temperature, EWH's rated power and capacity) on the performance of the scheduling algorithm. A significant feature of the proposed algorithm is its low computational complexity, which extends its applicability to low-cost embedded controllers. (C) 2018 Elsevier Ltd. All rights reserved.
机译:本文提出了一种启发式算法,该算法可调度动态电价下的电热水器(EWH)的运行。该算法考虑了成本和舒适性偏好/约束以及能源价格和热水消耗,并且在以成本或舒适性模式运行的情况下,在不显着损害感知的舒适度的情况下将能源成本降至最低。它的性能是通过模拟进行评估的,其中假设了每日实时实时定价(DA-RTP)费率和功耗随时间变化的限制,同时考虑了用户的每日热水消耗率。所提出的启发式算法与最佳调度算法之间的比较显示出在降低能源成本方面的相同性能。此外,参数分析研究了几个关键参数(最高水箱温度,EWH的额定功率和容量)对调度算法性能的影响。所提出算法的一个重要特征是其计算复杂度低,从而将其适用性扩展到了低成本嵌入式控制器。 (C)2018 Elsevier Ltd.保留所有权利。

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