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Integrated optimal scheduling and predictive control for energy management of an urban complex considering building thermal dynamics
International Journal of Electrical Power & Energy Systems ( IF 5.0 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.ijepes.2020.106273
Xiaolong Jin , Fengyu Qi , Qiuwei Wu , Yunfei Mu , Hongjie Jia , Xiaodan Yu , Zhuoyang Li

Abstract In this paper, an integrated optimal scheduling and predictive control scheme with a hierarchical structure is proposed for energy management of an urban complex (UC). The proposed scheme consists of a scheduling layer optimizing the energy usage of the UC and a control layer controlling the heating, ventilation, and air conditioning (HVAC) in each individual building. In the control layer, a detailed physical model of the individual building with HVAC system is developed to predict its energy consumption while considering the thermal dynamics of the building envelope with multiple layers of construction material. In the scheduling layer, a multi-objective optimal scheduling is formulated based on the predictive energy consumption of the buildings to reduce the peak-valley load difference and minimize the operating cost of the UC. Finally, the optimal control schedules are obtained and issued to the individual HVACs. Numerical results show that the proposed method can reduce the operating cost and reduce the peak-valley load difference for the UC. Meanwhile, the HVACs can be controlled in an optimal way within the limits of indoor temperature.

中文翻译:

考虑建筑热力学的城市综合体能源管理综合优化调度与预测控制

摘要 在本文中,针对城市综合体(UC)的能源管理,提出了一种具有层次结构的集成优化调度和预测控制方案。提议的方案包括一个优化 UC 能源使用的调度层和一个控制每个单独建筑物中的供暖、通风和空调 (HVAC) 的控制层。在控制层,开发了具有 HVAC 系统的单个建筑物的详细物理模型,以预测其能耗,同时考虑具有多层建筑材料的建筑围护结构的热动力学。在调度层,基于建筑物能耗预测制定多目标优化调度,以减少峰谷负荷差异,最小化统一通信的运行成本。最后,获得最佳控制计划并将其发布到各个 HVAC。数值结果表明,该方法可以降低UC的运行成本,减小峰谷负荷差。同时,可以在室内温度范围内以最佳方式控制暖通空调。
更新日期:2020-12-01
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