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Simulation Research on Singularity Detection of Transient Power Disturbance

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Artificial Intelligence and Computational Intelligence (AICI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7530))

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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.

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Author information

Authors and Affiliations

  1. School of Power and Automation Engineering, Shanghai University of Electric Power, Shanghai, China

    Jian-ping Zhou & Yan Chen

Authors
  1. Jian-ping Zhou
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  2. Yan Chen
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Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  2. Deaprtment of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  3. School of Business Information Technology and Logistics, RMIT University, City Campus, 124 la Tobre Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  4. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhou, Jp., Chen, Y. (2012). Simulation Research on Singularity Detection of Transient Power Disturbance. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_64

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  • DOI: https://doi.org/10.1007/978-3-642-33478-8_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33477-1

  • Online ISBN: 978-3-642-33478-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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