An Integrated MPC Approach for Demand-Response Heating and Energy Storage Operation in Smart Buildings

被引：0
|
作者：
Bianchini, Gianni [1 ]
Casini, Marco [1 ]
Pepe, Daniele [1 ]
Vicino, Antonio [1 ]
Zanvettor, Giovanni Gino [1 ]
机构：
[1] Univ Siena, Dipartimento Ingn Informaz & Sci Matema, Via Roma 56, I-53100 Siena, Italy
来源：
2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2017年
关键词：
Energy Systems; Building heating management; Energy storage; Demand-Response; Model predictive control; PREDICTIVE CONTROL; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the problem of minimizing the electricity bill of smart buildings equipped with centralized heating systems and thermal and electrical storage devices. Building participation in a Demand-Response program in the form of price-volume signals is also considered. The proposed solution is based on a Model Predictive Control approach to operate the heating system and the storage devices in an optimal fashion, under thermal comfort and technological constraints.
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页数：6
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