• DocumentCode
    1540990
  • Title

    Modeling and prediction of distribution system voltage distortion caused by nonlinear residential loads

  • Author

    Wang, Yen-Ju ; O´Connell, Robert M. ; Brownfield, Gary

  • Author_Institution
    Power Electron. Res. Center, Missouri Univ., Columbia, MO, USA
  • Volume
    16
  • Issue
    4
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    744
  • Lastpage
    751
  • Abstract
    Electric utilities have expressed concern over increased nonlinear loading of residential power distribution systems. The number and variety of power electronic products found in the typical home continues to grow rapidly, imposing a burden on local power companies to supply reliable, distortion-free service. In order to adequately prepare for the future, utilities must be able to predict the harmonic impact of new power electronic equipment and evaluate the ability of existing power systems to accommodate these nonlinear loads. This paper describes a modeling methodology that uses SPICE simulation software to predict the voltage distortion caused by nonlinear residential loads. Results of applying the methodology to a specific distribution system containing either of two different types of harmonic-rich loads, i.e., variable speed air conditioners or electric vehicle battery chargers, are presented as well
  • Keywords
    SPICE; air conditioning; battery chargers; digital simulation; distribution networks; load (electric); power supply quality; power system simulation; SPICE simulation software; distribution system voltage distortion; electric vehicle battery chargers; harmonic currents; harmonic-rich loads; local power companies; nonlinear loads; nonlinear residential loads; power electronic products; reliable distortion-free service; residential power distribution systems; specific distribution system; variable speed air conditioners; voltage distortion; Power distribution; Power electronics; Power industry; Power supplies; Power system harmonics; Power system modeling; Power system reliability; Power system simulation; Predictive models; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.956765
  • Filename
    956765