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    Smart grid-demand side response model for optimization air conditioning

    Access Status
    Fulltext not available
    Authors
    Marwan, M.
    Ledwich, G.
    Ghosh, Arindam
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Marwan, M. and Ledwich, G. and Ghosh, A. 2012. Smart grid-demand side response model for optimization air conditioning, in - (ed), 2012 22nd Australasian Universities Power Engineering Conference: "Green Smart Grid Systems", AUPEC 2012, Sep 26 2012. Bali, India: Institute of Electrical and Electronics Engineers ( IEEE ).
    Source Title
    2012 22nd Australasian Universities Power Engineering Conference (AUPEC 2012)
    Source Conference
    2012 22nd Australasian Universities Power Engineering Conference: "Green Smart Grid Systems", AUPEC 2012
    ISBN
    978-1-4673-2933-0
    URI
    http://hdl.handle.net/20.500.11937/11312
    Collection
    • Curtin Research Publications
    Abstract

    The growing demand of air-conditioning is one of the largest contributors to Australia's overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly in Queensland. This research aimed to develop consumer demand side response model to assist electricity consumers to mitigate peak demand on the electrical network. The model developed demand side response model to allow consumers to manage and control air conditioning for every period, it is called intelligent control. This research investigates optimal response of end-user toward electricity price for several cases in the near future, such as: no spike, spike and probability spike price cases. The results indicate the potential of the scheme to achieve energy savings, reducing electricity bills (costs) to the consumer and targeting best economic performance for electrical generation distribution and transmission.

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