• DocumentCode
    1503491
  • Title

    Thermal power generation scheduling by simulated competition

  • Author

    Huse, Einar Ståle ; Wangensteen, Ivar ; Faanes, Hans H.

  • Author_Institution
    Norwegian Univ. of Sci. & Technol., Norway
  • Volume
    14
  • Issue
    2
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    472
  • Lastpage
    477
  • Abstract
    This paper presents a new method for solving the unit commitment problem by simulation of a competitive market where power is traded through a power exchange (PX). Procedures for bidding and market clearing are described. The market clearing process handles the spinning reserve requirements and power balance simultaneously. The method is used on a standard unit commitment problem with minimum up/down times, start-up costs and spinning reserve requirement taken into account. Comparisons with solutions provided by Lagrangian relaxation, genetic algorithms and Chao-an Li´s unit decommitment procedure demonstrate the potential benefits of this new method. The motivation for this work was to design a competitive electricity market suitable for thermal generation scheduling. However, performance in simulations of the proposed market has been so good that it is presented here as a solving technique for the unit commitment problem
  • Keywords
    electricity supply industry; power generation dispatch; power generation economics; power generation scheduling; thermal power stations; bidding; competitive electricity market; market clearing; power balance; power exchange; simulated competition; simulation performance; spinning reserve requirements; thermal power generation scheduling; unit commitment; Cost function; Electricity supply industry; Electricity supply industry deregulation; Power generation; Power generation economics; Power markets; Power system analysis computing; Power system economics; Power system simulation; Spinning;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.761868
  • Filename
    761868