• DocumentCode
    2486474
  • Title

    Electricity producer offering strategies in day-ahead energy markets

  • Author

    Bakirtzis, A.G. ; Simoglou, C.K. ; Ziogos, N.P. ; Tellidou, A.C. ; Bakirtzis, G.A.

  • Author_Institution
    Aristotle Univ. of Thessaloniki, Thessaloniki
  • fYear
    2007
  • fDate
    19-24 Aug. 2007
  • Firstpage
    1
  • Lastpage
    18
  • Abstract
    This paper addresses the problem of the development of optimal offering strategies by electricity producers in day-ahead energy auctions with step-wise energy offer format and transmission constraints. The producer energy offer optimization is formulated as a bi-level optimization problem, which is converted to a mathematical program with equilibrium constraints (MPEC). The producer MPEC is subsequently converted to a mixed integer linear program (MILP) using binary expansion of offer quantities and prices. The uncertainties under which the producer must develop his offering strategy are modeled. Test results on a small three-node, ten-unit test system address the effect of the transmission network on the producer strategic behavior in the day-ahead energy market.
  • Keywords
    integer programming; linear programming; power markets; transmission networks; MILP; MPEC; bi-level optimization problem; binary expansion; day-ahead energy auctions; day-ahead energy markets; electricity producer; mathematical program with equilibrium constraints; mixed integer linear program; optimal offering strategies; step-wise energy offer format; transmission constraints; transmission network; Capacity planning; Constraint optimization; Cost function; Load flow; Optimal control; Power generation; Power system dynamics; Power system reliability; Strategic planning; System testing; bidding strategies; electricity market; offering strategies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability, 2007 iREP Symposium
  • Conference_Location
    Charleston, SC
  • Print_ISBN
    978-1-4244-1519-9
  • Electronic_ISBN
    978-1-4244-1519-9
  • Type

    conf

  • DOI
    10.1109/IREP.2007.4410508
  • Filename
    4410508