• DocumentCode
    1753094
  • Title

    Chaos Detection Method for Power Quality Disturbance

  • Author

    Su, Hongsheng ; Zhao, Feng

  • Author_Institution
    Sch. of Inf. & Electr. Eng., Lanzhou Jiaotong Univ.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    5003
  • Lastpage
    5007
  • Abstract
    Chaos detection is a kind of signal processing method within the scope of time domain, and has broad applications. The method applies chaos system of its sensitivity to parameters alteration to make its periodical solution yield a dramatic change to detect faint signal. Even if the amplitude of the disturbed signal is extremely tiny, chaos system also can generate a substantial phase variation to it. Existence, amplitude and duration of the disturbed signal can be identified by discriminating operational status of chaos system. By the use of it in power quality disturbances detection, simulation trials including voltage sag, voltage swell and voltage interruption as well as the harmonics in different orders involving transient harmonics are done under Gauss white noise and color noise environments, the final results indicate that the proposed method is very effective
  • Keywords
    Gaussian noise; chaos; power supply quality; power system faults; power system harmonics; signal detection; Gauss white noise; chaos detection; chaos system; color noise; critical phase alteration; power quality disturbance; signal processing; time domain; transient harmonics; voltage interruption; voltage sag; voltage swell; Chaos; Colored noise; Gaussian noise; Power quality; Power system harmonics; Signal detection; Signal generators; Signal processing; Voltage fluctuations; White noise; Gauss noise; chaos detection; critical phase alteration; power quality disturbance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713340
  • Filename
    1713340