Nonlinear Economic Model Predictive Control Strategy for Active Smart Buildings

Rui Mirra Santos; Yi Zong; Joao M. C. Sousa; Luís Mendoncä; Anders Thavlov

Nonlinear Economic Model Predictive Control Strategy for Active Smart Buildings

Rui Mirra Santos
, Yi Zong
, Joao M. C. Sousa
, Luís Mendoncä
, Anders Thavlov

University of Lisbon

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Nowadays, the development of advanced and innovative intelligent control techniques for energy management in buildings is a key issue within the smart grid topic. A nonlinear economic model predictive control (EMPC) scheme, based on the branch-and-bound tree search used as optimization algorithm for solving the nonconvex optimization problem is proposed in this paper. A simulation using the nonlinear model-based controller to control the temperature levels of an intelligent office building (PowerFlexHouse) is addressed. Its performance is compared with a linear model-based controller. The nonlinear controller
is shown very reliable keeping the comfort levels in the two considered seasons and shifting the load away from peak hours in order to achieve the desired flexible electricity consumption.

Original language	English
Title of host publication	Proceedings of IEEE ISGT 2016
Number of pages	6
Publisher	IEEE
Publication date	2016
ISBN (Print)	978-1-5090-3358-4
Publication status	Published - 2016
Event	2016 IEEE PES Innovative Smart Grid Technologies Conference Europe - Ljubljana, Slovenia Duration: 9 Oct 2016 → 12 Oct 2016 https://ieeexplore.ieee.org/xpl/conhome/7837797/proceeding

Conference

Conference	2016 IEEE PES Innovative Smart Grid Technologies Conference Europe
Country/Territory	Slovenia
City	Ljubljana
Period	09/10/2016 → 12/10/2016
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7837797/proceeding

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Economic model predictive control
Flexible electricity consumption
Load shifting
Nonlinear model-based controller
Smart grid

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Cite this

@inproceedings{8f5fd0ea795c4a0eb016d0ec32571526,

title = "Nonlinear Economic Model Predictive Control Strategy for Active Smart Buildings",

abstract = "Nowadays, the development of advanced and innovative intelligent control techniques for energy management in buildings is a key issue within the smart grid topic. A nonlinear economic model predictive control (EMPC) scheme, based on the branch-and-bound tree search used as optimization algorithm for solving the nonconvex optimization problem is proposed in this paper. A simulation using the nonlinear model-based controller to control the temperature levels of an intelligent office building (PowerFlexHouse) is addressed. Its performance is compared with a linear model-based controller. The nonlinear controller is shown very reliable keeping the comfort levels in the two considered seasons and shifting the load away from peak hours in order to achieve the desired flexible electricity consumption.",

keywords = "Economic model predictive control, Flexible electricity consumption, Load shifting, Nonlinear model-based controller, Smart grid",

author = "Santos, \{Rui Mirra\} and Yi Zong and Sousa, \{Joao M. C.\} and Lu{\'i}s Mendonc{\"a} and Anders Thavlov",

year = "2016",

language = "English",

isbn = "978-1-5090-3358-4",

booktitle = "Proceedings of IEEE ISGT 2016",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2016 ; Conference date: 09-10-2016 Through 12-10-2016",

url = "https://ieeexplore.ieee.org/xpl/conhome/7837797/proceeding",

}

TY - GEN

T1 - Nonlinear Economic Model Predictive Control Strategy for Active Smart Buildings

AU - Santos, Rui Mirra

AU - Zong, Yi

AU - Sousa, Joao M. C.

AU - Mendoncä, Luís

AU - Thavlov, Anders

PY - 2016

Y1 - 2016

N2 - Nowadays, the development of advanced and innovative intelligent control techniques for energy management in buildings is a key issue within the smart grid topic. A nonlinear economic model predictive control (EMPC) scheme, based on the branch-and-bound tree search used as optimization algorithm for solving the nonconvex optimization problem is proposed in this paper. A simulation using the nonlinear model-based controller to control the temperature levels of an intelligent office building (PowerFlexHouse) is addressed. Its performance is compared with a linear model-based controller. The nonlinear controller is shown very reliable keeping the comfort levels in the two considered seasons and shifting the load away from peak hours in order to achieve the desired flexible electricity consumption.

AB - Nowadays, the development of advanced and innovative intelligent control techniques for energy management in buildings is a key issue within the smart grid topic. A nonlinear economic model predictive control (EMPC) scheme, based on the branch-and-bound tree search used as optimization algorithm for solving the nonconvex optimization problem is proposed in this paper. A simulation using the nonlinear model-based controller to control the temperature levels of an intelligent office building (PowerFlexHouse) is addressed. Its performance is compared with a linear model-based controller. The nonlinear controller is shown very reliable keeping the comfort levels in the two considered seasons and shifting the load away from peak hours in order to achieve the desired flexible electricity consumption.

KW - Economic model predictive control

KW - Flexible electricity consumption

KW - Load shifting

KW - Nonlinear model-based controller

KW - Smart grid

M3 - Article in proceedings

SN - 978-1-5090-3358-4

BT - Proceedings of IEEE ISGT 2016

PB - IEEE

T2 - 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe

Y2 - 9 October 2016 through 12 October 2016

ER -

Nonlinear Economic Model Predictive Control Strategy for Active Smart Buildings

Abstract

Conference

UN SDGs

Keywords

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