• DocumentCode
    759920
  • Title

    Establishing Harmonic Distortion Level of Distribution Network Based on Stochastic Aggregate Harmonic Load Models

  • Author

    Au, Mau Teng ; Milanovic, Jovica V.

  • Author_Institution
    Electr. & Electron. Eng. Dept., Univ. Tenaga Nasional, Kajang
  • Volume
    22
  • Issue
    2
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    1086
  • Lastpage
    1092
  • Abstract
    This paper presents a stochastic aggregate harmonic load (AHL) model built from physical load parameters. Parameters used include nonlinear load composition, diversity factors, and nonlinear load participation in total demand. They are obtained from samples of customer load database of different sectors of customers. The aggregate load modules are developed for harmonic simulation of distribution network using commercially available software. Uncertainties in loading conditions, load composition and aggregate harmonic load parameters are taken into account separately and simultaneously to determine voltage harmonic distortion levels in distribution network. The simulations performed on a large, realistic distribution network using developed AHL modules give realistic voltage distortion levels/ranges. The results of simulations are in agreement with field measurement results
  • Keywords
    distribution networks; harmonic distortion; stochastic processes; commercial software; customer load database; distribution networks; diversity factors; harmonic distortion levels; load composition; nonlinear load composition; nonlinear load participation; physical load parameters; stochastic aggregate harmonic load models; Aggregates; Distortion measurement; Gold; Harmonic distortion; Load management; Load modeling; Medium voltage; Power electronics; Probability; Stochastic processes; Distribution network; harmonics; stochastic aggregate harmonic load model;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2007.893193
  • Filename
    4141104