• DocumentCode
    1028241
  • Title

    Multi-Area Power Generation Dispatch in Competitive Markets

  • Author

    Yingvivatanapong, Chitra ; Lee, Wei-Jen ; Liu, Edwin

  • Author_Institution
    Nexant Inc., Chandler
  • Volume
    23
  • Issue
    1
  • fYear
    2008
  • Firstpage
    196
  • Lastpage
    203
  • Abstract
    In competitive electric energy markets, the power generation dispatch optimization is one of the most important missions among generation companies-how to respond to the markets, dispatch their units, and maximize profits. This paper proposes an approach to incorporate power contracts, which include call and put options, forward contracts, and reliability must-run contracts, into multi-area unit commitment and economic dispatch solutions. The proposed solution algorithm is based on adaptive Lagrangian relaxation, unit decommitment, and lambda-iteration methods. The problem formulation consists of three stages: 1) the incorporation of the power contracts, 2) the multi-area unit commitment, and 3) the multi-area economic dispatch. The proposed algorithm has been successfully implemented, and its testing results on modified IEEE test cases are promising.
  • Keywords
    contracts; iterative methods; power generation dispatch; power generation economics; power generation reliability; power generation scheduling; power markets; IEEE test; adaptive Lagrangian relaxation; competitive electric energy markets; economic dispatch solution; incorporate power contracts; lambda-iteration methods; multiarea power generation dispatch; multiarea unit commitment; reliability must-run contracts; unit decommitment; Contracts; Cost function; Economic forecasting; Fuel economy; Lagrangian functions; Power generation; Power generation dispatch; Power generation economics; Spinning; Testing; Bilateral contracts; Lagrangian function; Lagrangian relaxation; multi-area power generation dispatch; reliability must-run contract; unit commitment and decommitment;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2007.913304
  • Filename
    4425384