Model Predictive Control Approach for Building Microgrid Considering Dynamic Thermal Characteristics of Building

被引:4
作者
Qi, Fengyu [1 ]
Jin, Xiaolong [1 ]
Mu, Yunfei [1 ]
Jia, Hongjie [1 ]
Xu, Xiandong [2 ]
Yu, Xiaodan [1 ]
Wang, Tong [3 ]
机构
[1] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, Peoples R China
[2] Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT9 5AH, Antrim, North Ireland
[3] NARI Solar Energy Technol Co Ltd, Nanjing 210009, Jiangsu, Peoples R China
来源
8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016) | 2017年 / 105卷
基金
中国国家自然科学基金;
关键词
Dynamic thermal process; Model predictive control (MPC) strategy; Energy consumption; SYSTEMS;
D O I
10.1016/j.egypro.2017.03.599
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A simple dynamic model to simulate heating/cooling energy consumption in a building was proposed in this paper. 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 model predictive control (MPC) approach for the building Microgrid considering the dynamic thermal characteristics of the building was proposed. The MPC approach 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 approach. (C) 2017 Published by Elsevier Ltd.
引用
收藏
页码:2785 / 2790
页数:6
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