• DocumentCode
    3478529
  • Title

    Risk-constrained decision making on optimal allocation of generation capacity in energy and reserve markets for generation companies

  • Author

    Wang, Yong ; Wen, Fushuan

  • Author_Institution
    Dept. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2004
  • fDate
    5-8 April 2004
  • Firstpage
    718
  • Abstract
    In the competitive electricity market environment, generation companies (Gencos) are more flexible to make their production decisions with an objective of gaining more profits. To achieve such an objective with relatively low risk, Gencos can participate in different markets where different returns may be obtained with different degrees of risks. In this paper, we assume that Gencos have options, i.e. selling energy in an energy market, in an operating reserve market or in both. The optimal generation capacity allocation problem is modeled as a risky investment portfolio problem and the well-developed portfolio theory is applied to maximize the Genco´ profit with risk associated well taken into account. An optimization model is developed and a solving approach presented. Finally, numerical examples are served for demonstrating the developed model and approach.
  • Keywords
    decision making; optimisation; power markets; risk management; decision making; electricity market environment; energy market; generation companies; optimal generation capacity allocations; optimization model; portfolio theory; reserve markets; risk management; selling energy; Contracts; Decision making; Electricity supply industry; Investments; Mathematical model; Portfolios; Power generation; Power industry; Production; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8237-4
  • Type

    conf

  • DOI
    10.1109/DRPT.2004.1338077
  • Filename
    1338077