• DocumentCode
    2526511
  • Title

    Allocation of power harmonic filters using Genetic Algorithm

  • Author

    Variz, A.M. ; Niquini, F.M.M. ; Pereira, J.L.R. ; Barbosa, P.G. ; Carneiro, S., Jr. ; Ribeiro, P.F.

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Juiz de Fora (UFJF), Juiz de Fora, Brazil
  • fYear
    2012
  • fDate
    17-20 June 2012
  • Firstpage
    143
  • Lastpage
    149
  • Abstract
    In this paper it is confirmed that the placement of harmonic filters in power systems is not a trivial task. Although it seem obvious the allocation of filters in the buses with the biggest harmonic distortions and/or with the largest harmonic sources, it is going to be proven that these choices are not the best solution regard the network operation and the importance of some areas. The decision criterion in the present problem has the objective to minimize the network average distortion. The presented methodology also uses associated weight for each bus to categorize the most important network nodes and areas. The proposed methodology uses the three-phase harmonic current injection method with Newton-Raphson iterative solution (THCIM) associated with Genetic Algorithm (GA).
  • Keywords
    Newton-Raphson method; genetic algorithms; harmonic distortion; power harmonic filters; power system harmonics; GA; Newton-Raphson iterative solution; THeIM; decision criterion; filters allocation; genetic algorithm; harmonic distortions; harmonic sources; network average distortion; network nodes; network operation; power system harmonic filters allocation; three-phase harmonic current injection method; Earth; Harmonic analysis; Integrated optics; Optical filters; Phase distortion; Sociology; Statistics; Genetic Algorithm; Harmonic Filter Allocation; Harmonic Load Flow Analysis; Power System Harmonics Propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Harmonics and Quality of Power (ICHQP), 2012 IEEE 15th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1540-6008
  • Print_ISBN
    978-1-4673-1944-7
  • Type

    conf

  • DOI
    10.1109/ICHQP.2012.6381249
  • Filename
    6381249