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 proceedingArticle in proceedingsResearchpeer-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 languageEnglish
    Title of host publicationProceedings
    PublisherIEEE
    Publication date2011
    ISBN (Print)9781424484195
    DOIs
    Publication statusPublished - 2011
    Event2011 IEEE PES PowerTech - Trondheil (NO), 19-23 Jun
    Duration: 1 Jan 2011 → …

    Conference

    Conference2011 IEEE PES PowerTech
    CityTrondheil (NO), 19-23 Jun
    Period01/01/2011 → …

    Keywords

    • Intelligent energy systems

    Fingerprint Dive into the research topics of 'Active load management in an intelligent building using model predictive control strategy'. Together they form a unique fingerprint.

    Cite this