• DocumentCode
    578617
  • Title

    Smart grid-demand side response model for optimization air conditioning

  • Author

    Marwan, Marwan ; Ledwich, Gerard ; Ghosh, Arindam

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., QUT, Brisbane, QLD, Australia
  • fYear
    2012
  • fDate
    26-29 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • 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.
  • Keywords
    air conditioning; demand side management; intelligent control; optimisation; power consumption; power generation control; smart power grids; Australia; Queensland; consumer demand side response; electrical generation distribution; electrical generation transmission; electrical network; electricity bills; electricity consumers; electricity price; electricity utilities; energy savings; intelligent control; optimal response; optimization air conditioning; overall electricity consumption; peak load supply problems; probability spike price; smart grid-demand side response; Air conditioning; Atmospheric modeling; Australia; Electricity; Optimization; Switches; Turning; Demand side response; Economic; Electrical network; Generation; consumer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (AUPEC), 2012 22nd Australasian
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4673-2933-0
  • Type

    conf

  • Filename
    6360254