• DocumentCode
    2613418
  • Title

    Empirical Mode Decomposition For Power Quality Monitoring

  • Author

    Lu, Z. ; Smith, J.S. ; Wu, Q.H. ; Fitch, J.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Liverpool Univ.
  • fYear
    2005
  • fDate
    2005
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents an empirical mode decomposition (EMD) technique as a powerful tool for monitoring power quality in electric power systems. As a multi-resolution signal decomposition technique, EMD has the ability to detect and localize transient features of power disturbances. In this paper, firstly, the theoretical background of EMD is briefly introduced and discussed. Then the technique is presented in detail and used to extract the features of power disturbances. Finally the practicality and advantages of the EMD is discussed based on the simulation results obtained from several scenarios of power disturbances. The results demonstrate the potential of the proposed methodology for power quality monitoring and assessment
  • Keywords
    feature extraction; monitoring; power supply quality; power system faults; signal resolution; EMD; electric power system; empirical mode decomposition; feature extraction; multiresolution signal decomposition; power disturbance; power quality monitoring; Computer vision; Computerized monitoring; Degradation; Industrial power systems; Power quality; Power system protection; Power system relaying; Signal analysis; Signal processing; Signal resolution; Empirical Mode Decomposition; multi-resolution signal decomposition; power quality events;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
  • Conference_Location
    Dalian
  • Print_ISBN
    0-7803-9114-4
  • Type

    conf

  • DOI
    10.1109/TDC.2005.1546916
  • Filename
    1546916