• DocumentCode
    2806149
  • Title

    Modeling price-based decisions in advanced electricity markets

  • Author

    Zak, Eugene J. ; Ammari, Sami ; Cheung, Kwok W.

  • Author_Institution
    Alstom Grid, Redmond, WA, USA
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In advanced electricity markets some bids and offers extend over a block of several consecutive time periods so that the block bid/offer has to be cleared entirely for all time periods comprising the block According to a typical market rule a block bid can be cleared only if its price is not lower than the average market price. Similarly, a block offer can be cleared only if its price is not higher than the average market price. The average market price is an arithmetic mean of the market prices over the block time periods (assuming identical time period lengths). The block bids/offers selection depends on the market prices which are part of the same optimization problem. The dilemma occurs: block bids/offers selection as a primal solution cannot be properly exercised without knowing the prices as a dual solution, and the prices depend on the selection decisions. We propose a model harmonizing such complex “primal-dual” market rules. The model ties together the primal and dual variables so that the “primal-dual” market rules become a part of the overall model. The model is a non-linear Mixed Integer Program (MIP). We have implemented an exact algorithm to solve this model. The computational results demonstrate the adequacy of the modeling and algorithmic approaches and their practical value for several European electricity markets.
  • Keywords
    integer programming; nonlinear programming; power markets; pricing; European electricity market; MIP; advanced electricity market; block bid; market price modelling; mixed integer program; model harmonization; nonlinear programming; optimization; primal dual market rule; Computational modeling; Electricity supply industry; Minimization; Optimization; Programming; Software algorithms; Vectors; Mathematical programming; optimization methods; power generation dispatch; power system economics; power system modeling; software algorithms; supply and demand;
  • 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.2012.6254813
  • Filename
    6254813