• DocumentCode
    3077258
  • Title

    Optimal Purchasing Portfolio for Power Supplier with Options and Interruptible Load Based on Conditional Value-at-Risk

  • Author

    Wang, Ruiqing ; Xiao, Xinfeng ; Dong, Weijun

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Anyang Normal Univ., Anyang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 July 2009
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    Power suppliers are faced with the trade-off between benefit and risk when they purchase energy from several sub-markets under electricity market environments. With conditional value-at-risk (CVaR) as a measuring index for market risk, a purchasing model for power suppliers among the wholesale, forward, options and interruptible load (IL) markets, is proposed, in which the objective function is to maximize the portfolio expected revenues. The model can be solved by an improved genetic algorithm, and the impacts of options and IL on purchasing portfolio are analyzed. The results of numerical examples show that options and IL can effectively lower portfolio loss, and the strike price of options, the IL compensation price and the risk evaded mentalities of suppliers have substantially effect on the portfolio allocation. As a consistency risk measurement tool, CVaR can be better applied in risk management of electricity markets.
  • Keywords
    genetic algorithms; investment; power markets; purchasing; risk management; conditional value-at-risk; electricity market; genetic algorithm; interruptible load markets; market risk measurement index; optimal purchasing portfolio; portfolio allocation; portfolio expected revenues; portfolio loss; power supplier; risk management; Costs; Decision making; Electricity supply industry; Forward contracts; Genetic algorithms; Portfolios; Power engineering and energy; Power generation; Power supplies; Risk management; conditional value-at-risk; genetic algorithm; interruptible load; options; purchasing portfolio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering, 2009. ICIE '09. WASE International Conference on
  • Conference_Location
    Taiyuan, Shanxi
  • Print_ISBN
    978-0-7695-3679-8
  • Type

    conf

  • DOI
    10.1109/ICIE.2009.50
  • Filename
    5211470