• DocumentCode
    1505277
  • Title

    Localization of Nonlinear Loads in Electric Systems Through Harmonic Source Estimation

  • Author

    D´Antona, Gabriele ; Muscas, Carlo ; Sulis, Sara

  • Author_Institution
    Dept. of Energy, Politec. di Milano, Milan, Italy
  • Volume
    60
  • Issue
    10
  • fYear
    2011
  • Firstpage
    3423
  • Lastpage
    3430
  • Abstract
    In a liberalized electric market, the knowledge of the system status is required to deal with management and control issues, such as energy dispatching and protection coordination. In this paper, a procedure for the harmonic source estimation aimed at giving distribution network operators information about the possible presence of harmonic producing loads, along with an indication about the reliability of such information, is studied in detail. The methodology exploits the few real-time measurements existing in distribution systems and all the other available information to provide an initial estimation of the harmonic currents injected by the nonlinear loads. A great attention has been paid to correctly model, in terms of probability distributions, the a-priori knowledge about the harmonic behavior of the loads. This is because the validity of the results strictly depends on the validity of the input data. The practical applicability of the method is discussed with the help of both computer simulations relevant to an IEEE benchmark grid and experimental tests performed on a small low-voltage distribution network in the Measurement Laboratory at the Department of Electrical and Electronic Engineering, University of Cagliari.
  • Keywords
    harmonic analysis; power distribution reliability; power markets; power system measurement; statistical distributions; IEEE benchmark grid; computer simulation; distribution network operators; distribution system; electric systems; energy dispatching; energy protection coordination; harmonic producing load; harmonic source estimation; liberalized electric market; low-voltage distribution network; nonlinear load localization; probability distribution; real-time measurement; reliability; Current measurement; Estimation; Harmonic analysis; Measurement uncertainty; Power system harmonics; Uncertainty; Voltage measurement; Bayesian estimation; Monte Carlo (MC); electric distribution system; harmonic state estimation (HSE); localization of harmonic sources;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2011.2126830
  • Filename
    5756481