• DocumentCode
    1774190
  • Title

    The study on monitor of power system low frequency oscillation base on HHT method

  • Author

    Yang Pei-hong ; Yue Li-hai

  • Author_Institution
    Sch. of Inf. Eng., Inner Mongolia Univ. of Sci. & Technol., Baotou, China
  • fYear
    2014
  • fDate
    23-26 Sept. 2014
  • Firstpage
    305
  • Lastpage
    307
  • Abstract
    Aimed to solve the problem-power system low frequency oscillation in area main lines, this paper presents a decomposition of power system low frequency oscillation which can monitor vibration modal parameters quickly and accurately; The core of low frequency oscillation monitor is an improved Hilbert-Huang Transform(HHT) algorithm through the online record data superposition integral cycle cosine both ends of the signal, signal preprocessing is the extreme point. The method has solved the EMD decomposition process of “end effect” problem; Through the MATLAB simulation verifies the effectiveness of the proposed method.
  • Keywords
    Hilbert transforms; power system measurement; EMD; Hilbert-Huang transform; MATLAB; data superposition; power system low frequency oscillation; power system monitor; signal preprocessing; Abstracts; Biomedical monitoring; Monitoring; Power systems; Transforms; Empirical Mode Decomposition; Hilbert-Huang Transform; Monitor; Power System Low Frequency Oscillation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2014 China International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CICED.2014.6991716
  • Filename
    6991716