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A binary integer programming model for optimal load scheduling of household appliances with consumer's preferences

机译：用于消费者偏好的家用电器最佳负载调度的二进制整数编程模型

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This paper addresses the residential demand response problem through the scheduling of typical home appliances while incorporating more realistic aspects. The objective of this study is to generate an optimal load schedule of home appliances with consumer's preferences, which includes preferred schedule for some appliances. To obtain an optimal load schedule of home appliances, a binary integer programming optimization model is proposed under a time-of-use electricity tariff. The proposed mathematical formulation is compared against a non-linear mathematical model formulation from the literature. The objective function minimizes the weighted score of electricity cost and earn the relevant incentive and the scheduling inconvenience. A case study shows that a household can shift consumption in response to the varying prices and incentives, through which the consumer may realize an electricity cost saving of around 55% compared to the preferred schedule defined by the consumer, and by around 31% compared to the schedule resulted from the non-linear model from the literature. Furthermore, the results show that the proposed binary model proves a significant superior performance, especially in terms of computation time.
机译：本文通过调度典型的家电调度，同时结合了更现实的方面，解决了住宅需求响应问题。本研究的目的是产生具有消费者偏好的家用电器的最佳负载计划，其中包括一些设备的首选时间表。为了获得家用电器的最佳负载计划，在使用时间电费下提出了一种二进制整数编程优化模型。将所提出的数学制剂与文献中的非线性数学模型配方进行比较。目标函数最大限度地减少了电力成本的加权分数，并获得了相关的激励和调度不便。案例研究表明，与消费者定义的首选时间表相比，消费者可以通过该案例研究，消费者可以通过该案例转移消费，以应对不同的价格和激励措施，消费者可能会实现55 ％的电力成本。与文献中的非线性模型引起的时间表相比。此外，结果表明，所提出的二元模型证明了显着的卓越性能，尤其是在计算时间方面。

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