• DocumentCode
    1663903
  • Title

    Classification of power quality disturbance based on atomic energy

  • Author

    Wang, Ning ; Jia, Qing-quan ; Dou, Chun-xia ; Bo, Zhi-qian

  • fYear
    2010
  • Firstpage
    454
  • Lastpage
    459
  • Abstract
    Paper presents a new power quality disturbance classification method based on atomic energy. Design four coherent dictionaries by analyzing characteristic of power quality disturbance, which decrease the calculation work of the Matching Pursuits (MP) algorithm. Use the MP algorithm to extract the fundamental component and disturbance component. By analyzing the relationship of energy which between disturbance component and residual signal, we can identify the disturbance types of power quality. Simulation and real data results confirm the effectiveness of the proposed method, and obtaining accuracy with high signal-to-noise ratios.
  • Keywords
    iterative methods; nuclear power; power supply quality; time-frequency analysis; atomic energy; coherent dictionaries; disturbance classification; matching pursuits algorithm; power quality disturbance; residual signal; signal-to-noise ratios; Analytical models; Artificial neural networks; Classification algorithms; Dictionaries; Filtering algorithms; Matching Pursuits; Power quality; atomic energy; coherent dictionary; disturbance classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling, Identification and Control (ICMIC), The 2010 International Conference on
  • Conference_Location
    Okayama
  • Print_ISBN
    978-1-4244-8381-5
  • Electronic_ISBN
    978-0-9555293-3-7
  • Type

    conf

  • Filename
    5553520