• DocumentCode
    267640
  • Title

    European Power Exchange day-ahead market clearing with Benders Decomposition

  • Author

    Dourbois, Grigoris A. ; Biskas, Pandelis N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A European Power Exchange day-ahead market with both simple and combinatorial products is modeled in this paper and cleared using Benders Decomposition. Except from simple hourly supply offers and demand bids, the products comprise supply and demand profile block offers/bids, and supply and demand linked profile block offers/bids. The problem constitutes a Mixed Integer Linear Programming model having a decomposable structure, which is decomposed in terms of binary and continuous variables, and solved using the Benders Decomposition approach. The master problem includes the binary variables, the decisions of which are transferred to the sub-problem, which incorporates the problem continuous variables. The iterations of Benders method constitute inner iterations; outer iterations are also performed in order to handle the paradoxically accepted and rejected blocks. The overall algorithm converges to the solution of the original MILP problem. The proposed approach is evaluated using the IEEE RTS-96 three-area test system.
  • Keywords
    integer programming; iterative methods; linear programming; power markets; Benders Decomposition approach; European power exchange day-ahead market; IEEE RTS-96 three-area test system; MILP problem; binary variables; combinatorial products; mixed integer linear programming model; Convergence; Equations; Europe; Linear programming; Load flow; Mathematical model; Mixed integer linear programming; Benders Decomposition; Mixed Integer Linear Programming; Paradoxically accepted/rejected blocks; Power Exchange; day-ahead electricity market clearing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Computation Conference (PSCC), 2014
  • Conference_Location
    Wroclaw
  • Type

    conf

  • DOI
    10.1109/PSCC.2014.7038452
  • Filename
    7038452