• DocumentCode
    2070761
  • Title

    Risk Decision-Making for Purchasing Electricity in Multi-market on the Basis of Variance

  • Author

    Huo, Xiao-jiang ; Liu, Zhong-jing

  • Author_Institution
    HuaZhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    79
  • Lastpage
    82
  • Abstract
    Aiming at the risk management that electricity purchasers will face in power purchase of four markets under the framework of the electricity market, two purchasing electricity models about the restrictions or non-restriction are set up by means of Variance measuring risk. Meanwhile, this paper also proposes several feasible algorithms to minimize risks, including statistical genetic algorithms (SGA) on the basis of historic data. Lastly, a simulation-sample for one of models is given in this essay.
  • Keywords
    decision making; genetic algorithms; power markets; risk management; statistical analysis; SGA; multimarket electricity purchasing; risk decision making; risk management; statistical genetic algorithms; variance measuring risk; Consumer electronics; Contracts; Decision making; Distribution strategy; Educational institutions; Electric variables measurement; Electricity supply industry; Energy consumption; Mesh generation; Portfolios; Risk; SGA; decision-making model; electricity purchasers; variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2009 Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6325-1
  • Electronic_ISBN
    978-1-4244-6326-8
  • Type

    conf

  • DOI
    10.1109/ISISE.2009.107
  • Filename
    5447203