From Model Predictive to Hierarchized Hybrid Controller for Energy Management in Buildings

Malak Ahmad, N. Moubayed
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Abstract

Energy is the major resource in this whole world; however, it has been extensively used by buildings. In this paper, the concept of building's energy management is highlighted by modeling a hierarchized hybrid predictive control. HHMPC uniqueness goes to satisfying inhabitants, minimizing cost while covering minimal disturbances and considering constrains. A comparison was done after modeling and simulating classical model predictive control with a hierarchized hybrid predictive control. The contribution in this paper concerns the validation of the predictive control model. In addition, it treats the modeling and discusses the simulation results of the enhanced MPC called hierarchized hybrid model predictive control.
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建筑能源管理从模型预测到分层混合控制器
能源是整个世界的主要资源;然而,它已被广泛用于建筑。本文通过建立分层混合预测控制模型,突出了建筑能源管理的概念。HHMPC的独特性在于满足居民的需求,使成本最小化,同时覆盖最小的干扰和考虑约束。将经典模型预测控制与分层混合预测控制进行建模和仿真比较。本文的贡献涉及预测控制模型的验证。此外,本文还对分层混合模型预测控制进行了建模,并对其仿真结果进行了讨论。
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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