• DocumentCode
    2803613
  • Title

    Electricity market model with starting-up, shutting-down and commitment variables

  • Author

    Delgadillo, Andrés ; Reneses, Javier ; Barquín, Julián

  • Author_Institution
    Tech. Sch. of Eng. (ICAI), Univ. Pontificia Comillas, Madrid, Spain
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a perfect competition model of an electricity market that takes into account the starting-up, shutting-down and commitment variables. These variable are modeled through binary variables. The use of binary decision variables makes the cost functions discontinuous and dual variables questionable as equilibrium prices. If the market prices were set to the value of the dual variables, some units could have operational losses; and these units would rather not to enter in the market. In order to solve this problem, this paper proposes a methodology that find the market solution using a cost minimization problem. The cost-minimization problem is first solved taking into account the integratility of the binary variables, and then it is solved relaxing the binary variables. A third optimization problem is used to eliminate the differences between both solutions. This methodology can be seen as a stylized representation of sequential markets. Finally, the proposed methodology is validated through a numerical example.
  • Keywords
    costing; power generation dispatch; power generation scheduling; power markets; pricing; binary decision variables; commitment variables; cost functions; cost minimization problem; electricity market model; equilibrium prices; market prices; market solution; operational loss; sequential market representation; shutting-down variables; starting-up variables; Cost function; Electricity; Electricity supply industry; Indexes; Minimization; Production; Electricity markets; Perfect competition; Unit commitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2012 9th International Conference on the
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-0834-2
  • Electronic_ISBN
    978-1-4673-0832-8
  • Type

    conf

  • DOI
    10.1109/EEM.2012.6254681
  • Filename
    6254681