Research on a novel passive islanding detection method

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Authors

  • Dong Xie
     ,CN
  • Dajin Zang
     ,CN
  • Peng Gao
     ,CN
  • Junjia Wang
     ,CN
  • Zhu Zhu
     ,CN

DOI:

https://doi.org/10.18311/ijprvd/2021/28068

Keywords:

Inverter, islanding detection, lifting wavelet, neural network

Abstract

In distributed generation systems, islanding detection is a necessary function of grid-connected inverters. In view of the performance disadvantages of traditional passive and active islanding detection methods, this paper proposes a novel passive islanding detection method. The proposed method first extracts characteristic parameters from the inverter output voltage signal and inverter output current signal through lifting wavelet transform, and then conducts the pattern recognition of these extracted characteristic parameters via BP neural network, so as to judge if there is an islanding phenomenon. As verified by the simulation and experiment results, the islanding detection method proposed in this paper is effective, and is featured by high detection speed and small non-detection zone, without affecting electric energy quality; its detection performance has been remarkably improved in comparison with that of traditional islanding detection methods.

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Published

2021-07-02

How to Cite

Xie, D., Zang, D., Gao, P., Wang, J., & Zhu, Z. (2021). Research on a novel passive islanding detection method. Indian Journal of Power and River Valley Development, 71(5&6), 91–100. https://doi.org/10.18311/ijprvd/2021/28068

Issue

Volume 71. Issue 5&6, May-June 2021

Section

Articles
Received 2021-07-02
Accepted 2021-07-02
Published 2021-07-02

 

References

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