• DocumentCode
    647916
  • Title

    Determination of alternative bidding areas based on a full nodal pricing approach

  • Author

    Breuer, Christopher ; Seeger, Nick ; Moser, A.

  • Author_Institution
    Inst. of Power Syst. & Power Econ. (IAEW), RWTH Aachen Univ., Aachen, Germany
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Congestion management and capacity allocation have turned out to be some of the major challenges in the European electricity system. Although it is known that nodal prices, or often called locational marginal prices, would, in theory and from a static efficiency point of view, lead to an optimal congestion management, due to various reasons (e.g. market power and liquidity) this is no feasible solution in the mid-term; therefore, adjusting the current shape of bidding areas based on the physical transmission constraints could provide a preferable interim solution. Consequently, an algorithm to determine bidding areas based on a full nodal pricing simulation is developed and applied to a model of the European electricity system. The results show that the developed method is capable of investigating large power systems including impacts from uncertainties like grid extension or future development of Renewable Energies Sources (RES).
  • Keywords
    power markets; power transmission economics; pricing; European electricity system; RES; alternative bidding area determination; capacity allocation; electricity market design; full nodal pricing simulation approach; large power systems; locational marginal prices; optimal congestion management; physical transmission constraints; renewable energy sources; Convergence; Electricity; Europe; Genetic algorithms; Optimization; Power system stability; Pricing; Bidding Areas; Cluster Analysis; Clustering; Electricity Market Design; Genetic Algorithm; Nodal pricing; Zonal Pricing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672466
  • Filename
    6672466