• DocumentCode
    1560029
  • Title

    A cobweb bidding model for competitive electricity markets

  • Author

    Contreras, Javier ; Candiles, Oscar ; De la Fuente, José Ignacio ; Gómez, Tomás

  • Author_Institution
    E.T.S. de Ingenieros Industriales, Univ. de Castilla, La Mancha, Spain
  • Volume
    17
  • Issue
    1
  • fYear
    2002
  • fDate
    2/1/2002 12:00:00 AM
  • Firstpage
    148
  • Lastpage
    153
  • Abstract
    The new competitive framework that has been established in several electricity markets all over the world has changed the way that electric companies attain benefits. Under this new scenario, generation companies need to develop bidding models not only for the sake of achieving a feasible dispatch of their units, but also for maximizing their benefits. This paper presents a new bidding strategies model which considers the global policy of a company, but also specifies the bid of each generating unit. The proposed model produces a maximum price bid and an optimal bidding quantity by means of an iterative procedure using the generating company´s residual demand curve. It is based on an economic principle known as the cobweb theorem, frequently used to study stability in trading markets. A realistic case study from the Spanish daily electric market is presented to illustrate the methodology
  • Keywords
    electricity supply industry; iterative methods; power system economics; tariffs; Nash-Cournot equilibrium; Spain; bidding strategies; cobweb bidding model; competitive electricity markets; competitive framework; generating unit; generation companies; iterative procedure; maximum price bid; trading markets; Costs; Couplings; Electricity supply industry; Electricity supply industry deregulation; Power generation; Power generation economics; Power markets; Power system economics; Production; Stability;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.982206
  • Filename
    982206