• DocumentCode
    2834187
  • Title

    Introducing prob-a-sag - a probabilistic method for voltage sag management

  • Author

    Pohjanheimo, P. ; Lehtonen, M.

  • Author_Institution
    Dept. of Electr. & Commun. Eng., Helsinki Univ. of Technol., Espoo, Finland
  • fYear
    2004
  • fDate
    12-15 Sept. 2004
  • Firstpage
    250
  • Lastpage
    254
  • Abstract
    Comprehensive voltage sag management in a power distribution system includes the technical and economic impact of sags, annual frequency of sags, as well as the effect of possible mitigative means. A probabilistic approach is required for performing the task in complicated industrial processes. Prob-a-sag is a novel method combining all these features. Two-dimensional arrays are used for expressing the quantities and carrying out the analysis or optimization. Equipment sag sensitivity is expressed as tripping probability, which enables the probabilistic sensitivity assessment of a large process. The method is very flexible; increasing the array resolution improves the result precision. If sag quantities other than depth and duration are preferred, we may increase the number of array dimensions accordingly. Prob-a-sag is compatible with any spreadsheet application, or may be implemented in sophisticated network analysis software.
  • Keywords
    optimisation; power distribution economics; power supply quality; probability; sensitivity analysis; custom power technology; equipment sag sensitivity; industrial process; optimization; power distribution system; power quality; probabilistic sensitivity assessment; sophisticated network analysis software; tripping probability; two-dimensional arrays; voltage dip; voltage sag management; Costs; Energy management; Frequency; Power distribution; Power generation economics; Power quality; Power system analysis computing; Power system economics; Power system management; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Harmonics and Quality of Power, 2004. 11th International Conference on
  • Print_ISBN
    0-7803-8746-5
  • Type

    conf

  • DOI
    10.1109/ICHQP.2004.1409362
  • Filename
    1409362