Building Energy Allocation Using Distributed Model Predictive Control

被引：0
|
作者：
Li, Hongyi [1 ]
Xu, Jun [1 ,2 ]
机构：
[1] Harbin Inst Technol, Shenzhen 518055, Peoples R China
[2] Minist Educ, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
来源：
2023 2ND CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, CFASTA | 2023年
基金：
中国国家自然科学基金;
关键词：
Distributed strategy; model predictive control; building energy distribution;
D O I：
10.1109/CFASTA57821.2023.10243279
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a distributed energy allocation strategy for energy shortage scenarios is proposed. Users are allowed to set the priority order so that the proposed strategy is able to meet the urgent needs. A building model containing three zones is created in Energyplus and the strategy is deployed in Matlab.By introducing Mle+, a joint simulation of MATLAB and Energyplus is implemented. Centralized, decentralized and distributed model predictive control are applied to the energy shortage scenario respectively, and the results show that our approach can satisfy the urgent need for energy supply.
引用
收藏
页码：166 / 171
页数：6
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