• DocumentCode
    791744
  • Title

    Analysis of competitive power market with constant elasticity function

  • Author

    Nguyen, D.H.M. ; Wong, K.P.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kawloon, China
  • Volume
    150
  • Issue
    5
  • fYear
    2003
  • Firstpage
    595
  • Lastpage
    603
  • Abstract
    A solution method, for competitive power markets formulated as a Cournot game, that allows equilibrium to be determined without an explicit model of aggregated demand is presented. The method determines market equilibrium for all feasible demand conditions and thus provides a perspective on the market, independent of representative demand function, that reveals the inherent tendencies of producers in the market. Numerical solutions are determined by use of the new controlled genetic algorithm and constraint handling techniques. The solutions give production and demand elasticity distributions of the market at any feasible equilibrium price and volume. The solution distributions evaluated for the market with unspecified demand functions, were found to be consistent with previous results obtained from markets with specific demand functions. The ability of the new approach to find all, and arbitrary, solutions allows specific markets to be examined, as well as very general observations to be made. Generally it was observed that: no inherent price constraint exists; price is more volatile for low volumes and high prices; market dominance and power are unaffected by price; and inelastic demand can give rise to equilibrium with lower price than responsive demand.
  • Keywords
    costing; game theory; power markets; power system economics; Cournot game; aggregated demand; competitive power market analysis; constant elasticity function; constraint handling techniques; controlled genetic algorithm; equilibrium price; inelastic demand; market dominance; market equilibrium; price volatility; representative demand function; responsive demand; unspecified demand functions;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20030710
  • Filename
    1233544