• DocumentCode
    267653
  • Title

    Improved zonal network models in generation scheduling

  • Author

    Van den Bergh, Kenneth ; Delarue, Erik ; D´haeseleer, William

  • Author_Institution
    Energy Inst., Univ. of Leuven (KU Leuven), Leuven, Belgium
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Realistic generation scheduling models should take account of the electricity grid constraints. Nodal network models describe the grid in detail but require a high granularity of input data and result in long simulation times. Zonal network models are simplified versions of nodal network models, with lower granularity of input data and shorter simulation times, but less accurate simulation results. Detailed nodal network models are not suited for large scale generation scheduling models due to their complexity. Therefore, it is of importance for generation scheduling models to use an appropriate zonal network model, finding a balance between correctness and convenience. This paper compares a nodal network model with a "simple" zonal network model, a zonal network model with higher granularity and a zonal network model with different Power Transfer Distribution Factors for different types of grid injections. This latter zonal network model gives a sufficiently accurate representation of the grid flows, without increasing the simulation time or the granularity of the input data. All discussed concepts are applied to a case study of the Continental European power system.
  • Keywords
    power generation scheduling; transmission networks; Continental European power system; electricity grid constraints; generation scheduling models; grid flows; grid injections; nodal network models; power transfer distribution factors; zonal network models; Accuracy; Biological system modeling; Equations; Load flow; Load modeling; Mathematical model; Nodal Network Model; Power Transfer Distribution Factors; Zonal Network Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Computation Conference (PSCC), 2014
  • Conference_Location
    Wroclaw
  • Type

    conf

  • DOI
    10.1109/PSCC.2014.7038465
  • Filename
    7038465