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Model predictive control based scheduling method for a building microgrid

机译:基于模型预测控制的建筑微电网调度方法

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In this paper, a model predictive control (MPC) based scheduling method for a building microgrid was proposed. Firstly, a dynamic model to simulate heating/cooling energy consumption for a building was proposed. The model consists of several transient energy balance equations for external walls and internal air, in which the convective heat transfer, conductive heat transfer and heat storage in the heat transfer process are considered. The proposed model has been implemented utilizing the Simulink/MATLAB platform. Then, a MPC based scheduling method for the building microgrid considering the dynamic thermal characteristics of the building was proposed. The MPC method aims to minimize the total energy consumption of the building microgrid by combining the model predictive and the short-term control, and guarantees the customer temperature comfort level at the same time. Two comparative cases are presented to verify the effectiveness of the proposed MPC method. Numerical studies demonstrate that the proposed MPC based scheduling method can not only contribute to cost reduction, but also contribute to better renewables hosting capability for the building microgrid.
机译:本文提出了一种基于模型预测控制(MPC)的建筑微电网调度方法。首先,提出了一种模拟建筑物供暖/制冷能耗的动态模型。该模型由几个用于外壁和内部空气的瞬态能量平衡方程组成,其中考虑了对流传热,传导性传热和传热过程中的热量存储。建议的模型已使用Simulink / MATLAB平台实现。然后,提出了一种基于MPC的建筑物微电网调度方法,该方法考虑了建筑物的动态热特性。 MPC方法旨在通过将模型预测与短期控制相结合,将建筑物微电网的总能耗降至最低,并同时保证客户的温度舒适度。提出了两个比较案例,以验证所提出的MPC方法的有效性。数值研究表明,所提出的基于MPC的调度方法不仅可以降低成本,而且还可以为建筑微电网提供更好的可再生能源承载能力。

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