• DocumentCode
    1783584
  • Title

    Clearing algorithm for minimum income condition orders on European power exchanges

  • Author

    Sleisz, Adam ; Raisz, David

  • Author_Institution
    Budapest Univ. of Technol. & Econ., Budapest, Hungary
  • fYear
    2014
  • fDate
    14-14 Oct. 2014
  • Firstpage
    242
  • Lastpage
    246
  • Abstract
    State-of-the-art power exchange designs have to take a large set of economic and technical constraints into consideration. A specific difficulty is that most power generators have non-convex characteristics, for example startup costs and minimal load during operation. Minimum income condition orders constitute a method to represent some of the power plants´ corresponding economic interests on energy markets, e.g. on the proposed all-European day-ahead power exchange. However, the non-convexity of these offers can be computationally expensive. A new clearing algorithm is proposed to manage the issue effectively with advanced mathematical tools.
  • Keywords
    optimisation; power markets; European power exchanges; all-European day-ahead power exchange; clearing algorithm; economic constraints; energy markets; minimum income condition orders; nonconvex characteristics; power generators; technical constraints; Algorithm design and analysis; Economics; Educational institutions; Europe; Microwave integrated circuits; Power generation; Pricing; Power market; non-convex optimization; power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Electrical Engineering of Riga Technical University (RTUCON), 2014 55th International Scientific Conference on
  • Conference_Location
    Riga
  • Print_ISBN
    978-1-4799-7460-3
  • Type

    conf

  • DOI
    10.1109/RTUCON.2014.6998204
  • Filename
    6998204