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.

引用

页数：6

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