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Optimal demand controls for a heat pump water heater under different objective functions

机译:不同目标函数下热泵热水器的最优需求控制

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High penetration of variable sources of renewable power generation, such as photovoltaic (PV) systems will lead to supply-demand imbalances in the entire power system. Activation of residential power usage, storage, and generation by sophisticated scheduling and control using a home energy management system (HEMS) will be needed to balance power supply and demand in the near future. In this study, we improved a part of our optimum operation-scheduling model relevant to the operation of a heat pump water heater (HPWH). Using this new model, the optimal demand controls of an HPWH were analyzed with four types of objective functions. It was found that the most economical operation schedule using current electricity rates was not the same as schedules utilizing other objective functions. These results showed that we need to harmonize the objectives of demand control with incentive rewards for consumers in the future.
机译:诸如光伏(PV)系统之类的各种可再生能源的高渗透率将导致整个电力系统的供需不平衡。为了在不久的将来平衡电力供应和需求,将需要通过使用家庭能源管理系统(HEMS)的复杂调度和控制来激活住宅用电,存储和发电。在这项研究中,我们改进了与热泵热水器(HPWH)的运行有关的最佳运行计划模型的一部分。使用该新模型,通过四种目标函数分析了HPWH的最佳需求控制。发现使用当前电价的最经济的运行时间表与使用其他目标函数的时间表不同。这些结果表明,将来我们需要使需求控制的目标与对消费者的激励性奖励相协调。

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