• DocumentCode
    3729716
  • Title

    Optimization of static wind power investment in the Australian national electricity market

  • Author

    Sebastian Forsyth;Nadali Mahmoudi;Tapan Saha

  • Author_Institution
    School of Information Technology and Electrical Engineering, University of Queensland, Australia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper studies the Australian market conditions and subsidies in place to promote the growth of wind power through the use of a stochastic linear programming model. This model optimizes the profit obtained for a static investment based on a variety of wind and price scenarios. It is subject to different constraints which focus on the amount of initial capital injected by an investor, selling power through a Power Purchase Agreement (PPA) or using the Market Clearing Price (MCP). The Conditional Value-at-risk (CVaR) risk is also considered in this model to assist in differentiating between a risk-neutral and risk-averse investor. This has been evaluated for Portland on the coast of Victoria, Australia, using current data.
  • Keywords
    "Decision support systems","Reactive power","Stochastic processes","Investment","Wind power generation","Linear programming","Australia"
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2015.7381014
  • Filename
    7381014