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Parameter Estimation of Decaying DC Component via Improved Levenberg-Marquardt Algorithm

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Transactions on Edutainment XV

Part of the book series: Lecture Notes in Computer Science ((TEDUTAIN,volume 11345))

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Abstract

Fault current usually contain a decaying DC component and some kinds of noise. This DC component and noise decrease the accuracy and speed of the operation of digital relay protection. In order to remove the decaying DC component and noise in current signals for power system, parameters of decaying DC component should be estimated firstly. To solve this parameter estimation problem, a specific neural network is proposed, and then an adaptive learning algorithm based on improved Levenberg-Marquardt algorithm is derived to iteratively resolve its weights by optimizing the pre-defined objective function. From weights of the trained neural network, all parameters of decaying DC components can be well calculated. Profiting from good nature in fault tolerance of neural network, the proposed algorithm possess a good performance in resistance to noise. Simulation experimental results indicate that our algorithm can achieve a high accuracy with acceptable time consumption for parameters estimating in noise.

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Acknowledgement

This work was supported by the Key Lab of Digital Signal and Image Processing of Guangdong Province (2016GDDSIPL-02) and Research on Advanced Signal Processing Technology and Application of Department of Education of Guangdong Province (2017KCXTD015). The authors would like to thank all the reviewers for their comments.

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Authors and Affiliations

  1. College of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang, 524088, China

    Xiuchun Xiao

  2. Department of Planning and Regulation, Guangdong Ocean University, Zhanjiang, 524088, China

    Baitao Chen

  3. College of Engineering, Shantou University, Shantou, 515063, China

    Jingwen Yan

Authors
  1. Xiuchun Xiao
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  2. Baitao Chen
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  3. Jingwen Yan
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Corresponding authors

Correspondence to Baitao Chen or Jingwen Yan .

Editor information

Editors and Affiliations

  1. Hangzhou Normal University, Hangzhou, China

    Zhigeng Pan

  2. Imagineering Institute, Nusajaya, Malaysia

    Adrian David Cheok

  3. University of Education, Weingarten, Germany

    Wolfgang Müller

  4. Zhejiang University, Hangzhou, China

    Mingmin Zhang

  5. John Moores University, Liverpool, UK

    Abdennour El Rhalibi

  6. Air University, Islamabad, Pakistan

    Kashif Kifayat

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Xiao, X., Chen, B., Yan, J. (2019). Parameter Estimation of Decaying DC Component via Improved Levenberg-Marquardt Algorithm. In: Pan, Z., Cheok, A., Müller, W., Zhang, M., El Rhalibi, A., Kifayat, K. (eds) Transactions on Edutainment XV. Lecture Notes in Computer Science(), vol 11345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59351-6_5

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  • DOI: https://doi.org/10.1007/978-3-662-59351-6_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-59350-9

  • Online ISBN: 978-3-662-59351-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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