• DocumentCode
    1291560
  • Title

    A Dynamic Piecewise Linear Model for DC Transmission Losses in Optimal Scheduling Problems

  • Author

    Santos, Tiago Norbiato Dos ; Diniz, Andre Luiz

  • Author_Institution
    COPPE, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    508
  • Lastpage
    519
  • Abstract
    This paper proposes a dynamic piecewise linear model to represent dc transmission losses in optimal scheduling problems. An iterative procedure is proposed, where the linear cuts to approximate quadratic losses in each transmission line are adjusted iteratively as the optimization problem is solved. Applications of this approach to the network constrained short-term hydrothermal scheduling problem and to static dc optimal power flow problems yield a higher accuracy in representing line transmission losses as compared to other approaches, such as a priori iterative estimation, static piecewise liner model and successive linear programming. Study cases for a large-scale system also show reasonable results regarding CPU times.
  • Keywords
    DC transmission networks; hydrothermal power systems; iterative methods; load flow; optimisation; piecewise linear techniques; power generation scheduling; power transmission lines; DC transmission loss; dynamic piecewise linear model; iterative procedure; linear programming; optimal scheduling problem; optimization problem; quadratic loss; short-term hydrothermal scheduling problem; static DC optimal power flow problem; Iterative methods; Linear approximation; Load flow; Optimal scheduling; Piecewise linear approximation; Piecewise linear techniques; Power system modeling; Power transmission lines; Propagation losses; Yield estimation; Benders decomposition; dc optimal power flow; linear programming; power generation dispatch; transmission losses;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2057263
  • Filename
    5545500