• DocumentCode
    2686500
  • Title

    Voltage estimation in electrical distribution systems

  • Author

    Godoy, Ruben Barros ; Pinto, João Onofre Pereira ; Galotto, Luigi

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Mato Grosso do Sul, Campo Grande
  • fYear
    2007
  • fDate
    9-11 Oct. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The increasing demand for high power quality has increased the demand for power quality monitoring tools. The voltage performance monitoring for each feeder is one of the needs found by the utility companies. Since it is not economically viable to measure every single node in the system, it is necessary to use estimation techniques in order to get all needed information with a reduced the number of meters. These are basically interpolation techniques. Each interpolation provides different performance of estimations accordingly the application. In this work, it is proposed a non-linear non-parametric method which was found to get the best voltage estimates of feeders in relation to other more usual techniques. Comparative results for different methodologies in a hypothetic system are presented and discussed.
  • Keywords
    distribution networks; interpolation; power supply quality; power system measurement; voltage measurement; electrical distribution systems; feeder voltage; interpolation techniques; nonlinear nonparametric method; power quality; voltage estimation; voltage performance monitoring; Drives; Equations; Industrial plants; Interpolation; Monitoring; Power generation economics; Power quality; Power system economics; State estimation; Voltage fluctuations; Distribution system; power quality; state estimation; voltage sag and swell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power Quality and Utilisation, 2007. EPQU 2007. 9th International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-84-690-9441-9
  • Electronic_ISBN
    978-84-690-9441-9
  • Type

    conf

  • DOI
    10.1109/EPQU.2007.4424177
  • Filename
    4424177