• DocumentCode
    1501113
  • Title

    Optimal Self-Scheduling of a Thermal Producer in Short-Term Electricity Markets by MILP

  • Author

    Simoglou, Christos K. ; Biskas, Pandelis N. ; Bakirtzis, Anastasios G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • Volume
    25
  • Issue
    4
  • fYear
    2010
  • Firstpage
    1965
  • Lastpage
    1977
  • Abstract
    This paper addresses the problem of the self-scheduling of a thermal electricity producer in day-ahead energy and reserves markets. A 0/1 mixed integer linear formulation of the producer self-scheduling problem is provided, which allows a realistic and accurate modeling of the unit´s operating phases. A novel unit start-up modeling is presented, in which three different start-up types are modeled, hot, warm, and cold, each with distinct start-up cost, synchronization time, soak time, and predefined start-up power output trajectories, all dependent on the unit´s prior reservation time. Test results address the effect of the energy and reserves market clearing prices on the producer units´ day-ahead commitment status and profits.
  • Keywords
    integer programming; linear programming; power generation scheduling; power markets; thermal power stations; day-ahead commitment status; day-ahead energy and reserves markets; mixed integer linear programming; optimal self-scheduling; reservation time; short-term electricity markets; soak time; start-up cost; synchronization time; thermal producer; Cost function; Electricity supply industry; ISO; Load forecasting; Mixed integer linear programming; Production; Scholarships; Spinning; Testing; Electric energy markets; generation scheduling; mixed integer linear programming (MILP); reserves markets; self-scheduling;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2050011
  • Filename
    5471104