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

Access to Document

10.1109/PTC.2011.6019347

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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.",

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AU - Gehrke, Oliver

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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

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DO - 10.1109/PTC.2011.6019347

M3 - Article in proceedings

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BT - Proceedings

PB - IEEE

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