• DocumentCode
    3455747
  • Title

    Assessment of voltage SAG in distribution system regarding the uncertainty of wind-based distributed generation

  • Author

    Khanh, B.Q.

  • Author_Institution
    Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
  • fYear
    2011
  • fDate
    8-11 May 2011
  • Abstract
    This paper presents a new assessment of voltage sag due to faults in distribution system connected with wind-based distributed generation (WDG) in which some uncertain factors to this energy resource technology are considered. Voltage sag characteristics depend on the system´s short-circuit power (SSCP) that also includes the power injected from WDG when faults occur. The output power produced by WDG is a function of the wind speed that is stochastic in nature. By using the probabilistic modeling of wind speed at the WDG´s site, the uncertainty of wind regime is built into the problem of stochastic prediction of voltage sag in distribution system with wind energy resources connected. The paper assesses voltage sag performance in IEEE 34 Nodes Test Feeder. Voltage sag characteristics are determined in relation to wind speed for different scenarios of WDG sizing and placement, types of wind power generator and the impact of the system source capacity of the distribution system of interest.
  • Keywords
    distributed power generation; power distribution faults; power generation faults; power supply quality; wind power; IEEE 34 nodes test feeder; distribution system faults; short-circuit power; stochastic prediction; uncertainty; voltage sag; wind energy resources; wind power generator; wind speed; wind-based distributed generation; Power quality; Stochastic processes; Uncertainty; Voltage fluctuations; Wind speed; Wind turbines; Distributed Generation; Distribution System; Power Quality; Voltage Sag; Wind-Based DG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-9788-1
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2011.6030587
  • Filename
    6030587