Active load management in an intelligent building using model predictive control strategy

Yi Zong; Daniel Kullmann; Anders Thavlov; Oliver Gehrke; Henrik W. Bindner

doi:10.1109/PTC.2011.6019347

Active load management in an intelligent building using model predictive control strategy

Yi Zong, Daniel Kullmann, Anders Thavlov, Oliver Gehrke, Henrik W. Bindner

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

Abstract

This paper introduces PowerFlexHouse, a research facility for exploring the technical potential of active load management in a distributed power system (SYSLAB) with a high penetration of renewable energy and presents in detail on how to implement a thermal model predictive controller for load shifting in PowerFlexHouse heaters' power consumption scheme. With this demand side control study, it is expected that this method of demand response can dramatically raise energy efficiencies and improve grid reliability, when there is a high penetration of intermittent energy resources in the power system.

Original language	English
Title of host publication	Proceedings
Publisher	IEEE
Publication date	2011
ISBN (Print)	9781424484195
DOIs	https://doi.org/10.1109/PTC.2011.6019347
Publication status	Published - 2011
Event	2011 IEEE PES PowerTech - Trondheil (NO), 19-23 Jun Duration: 1 Jan 2011 → …

Conference

Conference	2011 IEEE PES PowerTech
City	Trondheil (NO), 19-23 Jun
Period	01/01/2011 → …

Keywords

Intelligent energy systems

UN SDGs

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

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10.1109/PTC.2011.6019347

Cite this

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title = "Active load management in an intelligent building using model predictive control strategy",

abstract = "This paper introduces PowerFlexHouse, a research facility for exploring the technical potential of active load management in a distributed power system (SYSLAB) with a high penetration of renewable energy and presents in detail on how to implement a thermal model predictive controller for load shifting in PowerFlexHouse heaters' power consumption scheme. With this demand side control study, it is expected that this method of demand response can dramatically raise energy efficiencies and improve grid reliability, when there is a high penetration of intermittent energy resources in the power system.",

keywords = "Intelligent energy systems, Intelligente energisystemer",

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language = "English",

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booktitle = "Proceedings",

publisher = "IEEE",

address = "United States",

note = "2011 IEEE PES PowerTech ; Conference date: 01-01-2011",

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AU - Zong, Yi

AU - Kullmann, Daniel

AU - Thavlov, Anders

AU - Gehrke, Oliver

AU - Bindner, Henrik W.

PY - 2011

Y1 - 2011

N2 - This paper introduces PowerFlexHouse, a research facility for exploring the technical potential of active load management in a distributed power system (SYSLAB) with a high penetration of renewable energy and presents in detail on how to implement a thermal model predictive controller for load shifting in PowerFlexHouse heaters' power consumption scheme. With this demand side control study, it is expected that this method of demand response can dramatically raise energy efficiencies and improve grid reliability, when there is a high penetration of intermittent energy resources in the power system.

AB - This paper introduces PowerFlexHouse, a research facility for exploring the technical potential of active load management in a distributed power system (SYSLAB) with a high penetration of renewable energy and presents in detail on how to implement a thermal model predictive controller for load shifting in PowerFlexHouse heaters' power consumption scheme. With this demand side control study, it is expected that this method of demand response can dramatically raise energy efficiencies and improve grid reliability, when there is a high penetration of intermittent energy resources in the power system.

KW - Intelligent energy systems

KW - Intelligente energisystemer

U2 - 10.1109/PTC.2011.6019347

DO - 10.1109/PTC.2011.6019347

M3 - Article in proceedings

SN - 9781424484195

BT - Proceedings

PB - IEEE

T2 - 2011 IEEE PES PowerTech

Y2 - 1 January 2011

ER -

Active load management in an intelligent building using model predictive control strategy

Abstract

Conference

Keywords

UN SDGs

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