• DocumentCode
    1679880
  • Title

    Accuracy assessment of hydro power plants models

  • Author

    Stokelj, T. ; Golob, R. ; Gubina, F.

  • Author_Institution
    Soske Elektrarne Nova Gorica, Slovenia
  • fYear
    1999
  • Firstpage
    47
  • Abstract
    In the paper, the issue of cascade hydro system scheduling is addressed. Various techniques for hydro power plants modeling are discussed and a detailed comparison of various models is given. First, a detailed simulation model of a generic hydro power plant is presented. Although computationally very demanding, it produces perfectly accurate results. Therefore it can be used as a reference. To describe the operation of a hydro power plant, relation between the power generation and water discharge has to be known. The traditional approach to finding this relation is to utilize a polynomial function. To obtain better performance, new models based on neural networks are developed. The developed models are tested for a cascade hydro system on the Soca river and some results are reported.
  • Keywords
    feedforward neural nets; hydroelectric power stations; multilayer perceptrons; power engineering computing; power generation scheduling; Soca river; cascade hydro system scheduling; feedforward neural nets; generic hydro power plant; hydro power plants models; neural networks; polynomial function; power generation; two layer perceptrons; water discharge; Computational modeling; Hydroelectric power generation; Hydroelectric-thermal power generation; Mathematical model; Neural networks; Polynomials; Power generation; Power generation dispatch; Power system modeling; Rivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
  • Conference_Location
    Budapest, Hungary
  • Print_ISBN
    0-7803-5836-8
  • Type

    conf

  • DOI
    10.1109/PTC.1999.826478
  • Filename
    826478