A model predictive control approach to the load shifting problem in a household equipped with an energy storage unit

A. Giorgio, L. Pimpinella, F. Liberati
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引用次数: 48

Abstract

This paper deals with the load shifting problem in a household equipped with smart appliances and an energy storage unit with conversion losses. The problem is faced by establishing an event driven Model Predictive Control framework aiming to meet the real life dynamics of a household and to keep low the impact of the control system on the total electric energy consumption. The proposed approach allows the consumer to minimize the daily energy cost in scenarios characterized by Time of Use tariffs and Demand Side Management, by dynamically evaluating the best time to run of the appliances and the optimal evolution of the battery level of charge. A proper set of realistic simulations validates the proposed approach, showing the relevance of the energy storage unit in the domestic load shifting architecture.
一种基于模型预测的储能户负荷转移控制方法
本文研究了具有转换损耗的智能家电家庭和储能单元的负荷转移问题。建立事件驱动的模型预测控制框架,既能满足家庭的实际动态,又能降低控制系统对总能耗的影响,是解决这一问题的关键。所提出的方法允许消费者通过动态评估设备运行的最佳时间和电池充电水平的最佳演变,在以使用时间关税和需求侧管理为特征的场景中,将每日能源成本降至最低。一组适当的现实仿真验证了所提出的方法,显示了储能单元在国内负荷转移体系结构中的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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