• DocumentCode
    2199592
  • Title

    A New Analysis Method of Inter-harmonic in Power System Using Orthogonal Basis Neural Network Algorithm

  • Author

    Pei, Yuan ; Zeng, Zhe-Zhao

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Hunan
  • fYear
    2006
  • fDate
    14-17 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is well known that the inter-harmonic is the harmonic which its frequency is not an integer of the fundamental frequency. It has serious impacts on the design of harmonic compensation equipments. Therefore it is important to measure accurately inter-harmonic. The neural network algorithm with the orthogonal basis functions was presented by which the amplitudes and phase of harmonic and inter-harmonic could be obtained very fast. To validate the algorithm´s validity, the simulation example of inter-harmonic analysis was given. The results show that the proposed inter-harmonic analysis approach has high precision and fast training speed, so it could be applied to power system inter-harmonic analysis
  • Keywords
    neural nets; power system analysis computing; power system harmonics; harmonic compensation equipment design; orthogonal basis neural network algorithm; power system interharmonic analysis; Algorithm design and analysis; Frequency; Harmonic analysis; Neural networks; Power harmonic filters; Power system analysis computing; Power system harmonics; Power system modeling; Power system simulation; Signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2006. 2006 IEEE Region 10 Conference
  • Conference_Location
    Hong Kong
  • Print_ISBN
    1-4244-0548-3
  • Electronic_ISBN
    1-4244-0549-1
  • Type

    conf

  • DOI
    10.1109/TENCON.2006.344045
  • Filename
    4142198