• DocumentCode
    2374050
  • Title

    Enumeration based reliability assessment algorithm considering nodal uncertainties

  • Author

    Gaun, A. ; Rechberger, G. ; Renner, H. ; Lehtonen, M.

  • Author_Institution
    Inst. of Electr. Power Syst., Graz Univ. of Technol. (TUG), Graz, Austria
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A novel fast enumeration based reliability assessment algorithm based on a probabilistic load flow approach considering nodal uncertainties is proposed in this paper. The frequency and duration indices for each load point and the expected energy not supplied as well as the expected interruption costs are derived with the proposed methodology. By reducing the number of necessary system states a huge decrease of computation time is achieved while maintaining an adequate degree of accuracy. In order to verify the accuracy and the computational expensiveness of the proposed algorithm a commercial available program is used to compare the calculation results of a utility driven sub transmission power system. It is demonstrated that a fast calculation of the load indices, including station originated outages, can be performed, based on uncertain nodal powers, for instance nodal injections from wind farms or other stochastic power system loads, with a high degree of accuracy.
  • Keywords
    load flow; power transmission reliability; probability; enumeration based reliability assessment algorithm; nodal uncertainties; probabilistic load flow; stochastic power system loads; uncertain nodal powers; utility driven sub transmission power system; Expected interruption cost; frequency and duration method; optimized probabilistic power flow; probabilistic load flow; reliability enumeration method; uncertainties;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5589268
  • Filename
    5589268