• DocumentCode
    3602527
  • Title

    Evaluating harmonic voltage distortion in load-variating unbalanced networks using Monte Carlo simulations

  • Author

    Melqui?Œ??ades Silva, Ma?Œ??rcio ; Losada y Gonzalez, Manuel ; Uturbey, Wadaed ; Carrano, Eduardo G. ; Rocha Silva, Sele?Œâ€?nio

  • Author_Institution
    Grad. Program in Electr. Eng., Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil
  • Volume
    9
  • Issue
    9
  • fYear
    2015
  • Firstpage
    855
  • Lastpage
    865
  • Abstract
    This study presents a new methodology for modelling and handling with aggregated harmonic loads and linear loads in the harmonic power flow analysis. This method, so-called variable load method, can be used in balanced and unbalanced systems and for deterministic and stochastic studies. The main types of harmonic loads and their participation coefficients inside the facility are estimated by inspection or based on usual values. In addition, a new type of load model that represents the load variation and minor loads is also defined based on field measurements, in order to build a more adherent harmonic load representation. A stochastic analysis, based on Monte Carlo simulations, is also performed. This sequence of steps makes possible to evaluate if the harmonic distortion has a significant probability of exceeding the limits set by standards because of load variations. This analysis is performed jointly with the bootstrapping method for obtaining the probability density functions of the voltage harmonic distortions. Tests on a real plant show that the proposed approach is able to represent measured data with high precision.
  • Keywords
    Monte Carlo methods; harmonic distortion; load flow; Monte Carlo simulations; aggregated harmonic loads; bootstrapping method; field measurements; harmonic load representation; harmonic power flow analysis; harmonic voltage distortion evaluation; linear loads; load variation; load-variating unbalanced networks; probability density functions; stochastic analysis; variable load method;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2014.0787
  • Filename
    7112859