• DocumentCode
    1429348
  • Title

    Energy delivery capacity and generation scheduling in the deregulated electric power market

  • Author

    Guan, Xiaohong ; Gao, Feng ; Svoboda, Alva J.

  • Author_Institution
    Syst. Eng. Inst., Xi´´an Jiaotong Univ., China
  • Volume
    15
  • Issue
    4
  • fYear
    2000
  • fDate
    11/1/2000 12:00:00 AM
  • Firstpage
    1275
  • Lastpage
    1280
  • Abstract
    The generation schedules obtained in traditional hydrothermal scheduling or unit commitment programs are in hourly generation levels. In the new deregulated power market, the power transactions are processed in terms of hourly energy delivery. Failing to fulfil scheduled energy delivery may result in a penalty to the power producers. This paper shows that although ramp-rate constraints are satisfied in hydrothermal scheduling, taking a generation level schedule as an energy delivery schedule may not be realizable. Based on the maximum principle in optimal control theory, the energy delivery capacity across the scheduling horizon is established as a set of recursive equations with given ramp-rate constraints. A sufficient and necessary condition is obtained to check if an energy delivery schedule is realizable. Based on this condition, two cases, where ramp-rate constraints are both satisfied, are analyzed and an unrealizable energy delivery schedule is observed
  • Keywords
    electricity supply industry; hydrothermal power systems; maximum principle; power generation control; power generation scheduling; deregulated electric power market; electric energy bidding; energy delivery capacity; energy delivery schedule; generation scheduling; hourly generation levels; hydrothermal scheduling; maximum principle; optimal control theory; power transactions; ramp-rate constraints; recursive equations; scheduled energy delivery; scheduling horizon; unit commitment programs; Constraint theory; Costs; Equations; Industrial control; Job shop scheduling; Optimal control; Power generation; Power industry; Power markets; Real time systems;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.898101
  • Filename
    898101