• DocumentCode
    165031
  • Title

    Optimal strategies modelling of demand response in electricity market for integration of intermittent resources

  • Author

    Zareen, N. ; Mustafa, M.W. ; Mehmood, Qaiser

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2014
  • fDate
    13-14 Oct. 2014
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    Interest in renewable energy resources (RER) is increased due to improved public awareness of the high energy cost and adverse environmental impacts of conventional energy resources. Causes a transition to a new generation of power networks which, among others characteristics, allows more flexible demand consumption under various Demand Response Programs (DRPs). Variable generation and stochastic demand strongly influencing the electricity markets and makes DRP extremely complex in nature. Therefore, the potential rapid growth of future demand for these energy sources suggest a need to formulate new strategies of DR to consider grid operating condition for every participant stakeholder of the deregulated electricity market that is not address in literature in details before. In this context, novel optimal strategies for DR model based on signaling game theory are proposed. Its simulation methodology for reliability evaluation and cost assessment in Independent Micro Grid Network (IMGN) is developed and results are discussed as compare to with existing methods.
  • Keywords
    demand side management; distributed power generation; power markets; DRP; IMGN; RER; cost assessment; demand response programs; deregulated electricity market; independent microgrid network; intermittent resources integration; optimal strategies modelling; reliability evaluation; renewable energy resources; Electricity supply industry; Equations; Load management; Load modeling; Mathematical model; Power system reliability; Reliability; Demand response; Market; Renewable energy resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion (CENCON), 2014 IEEE Conference on
  • Conference_Location
    Johor Bahru
  • Type

    conf

  • DOI
    10.1109/CENCON.2014.6967478
  • Filename
    6967478