• DocumentCode
    3597388
  • Title

    Probabilistic Modelling of Demand Diversity and its Relationship with Electricity Market Outcomes

  • Author

    Ziser, Carla J. ; Dong, Zhaoyang ; Saha, Tapan Kumar

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
  • fYear
    2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Part of the planning process in a multi-regional, interconnected electricity market involves electricity market simulation to look for indications of the need for new generation investment. Regional demand forecasts are required on a dispatch-interval basis for the simulation period, and as interregional demand diversity can affect market outcomes, appropriate levels of diversity should be chosen and uncertainty of diversity considered. This paper presents a methodology for probabilistic simulation of demand diversity scenarios, and an analysis of the market benefits associated with demand diversity. In addition, the implications this has for new generation investment indicators is examined.
  • Keywords
    demand forecasting; power markets; power system interconnection; power system planning; power system simulation; probability; demand diversity scenario; interconnected electricity market; investment indicator; planning process; probabilistic modelling; Australia; Economic forecasting; Electricity supply industry; Investments; Power generation; Power system planning; Power system simulation; Predictive models; Pricing; Weather forecasting; Demand diversity; Power generation planning; Power system planning; Power system simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385774
  • Filename
    4275540