Simulation research on singularity detection of transient power disturbance

  • Authors:

  • Jian-ping Zhou;Yan Chen

  • Affiliations:

  • School of Power and Automation Engineering, Shanghai University of Electric Power, Shanghai, China;School of Power and Automation Engineering, Shanghai University of Electric Power, Shanghai, China

  • Venue:
  • AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
  • Year:
  • 2012

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Abstract

According to the actual power system transmission line, the voltage and current transient simulation models are set up. Four different types of transient signals are obtained and they are voltage oscillation, current oscillation, voltage pulse and current pulse. The wavelet and the lifting wavelet are respectively used to detect the above four kinds of transient signals. The simulation results show that both the wavelet and the lifting wavelet can accurately detect the singularity of transient signal. However, the reconstruction error of the lifting wavelet is much less than that of the wavelet. The algorithm of the lifting wavelet is more accurate than that of the wavelet. Therefore, the lifting wavelet is more suitable for the accurate and real-time operating requirements in the power system.