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Arc Fault Detection Algorithm Based on Variational Mode Decomposition and Improved Multi-Scale Fuzzy Entropy

Author

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  • Lina Wang

    (School of Automation Science and Electrical Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China)

  • Hongcheng Qiu

    (School of Automation Science and Electrical Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China)

  • Pu Yang

    (School of Automation Science and Electrical Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China)

  • Longhua Mu

    (Department of Electrical Engineering, Tongji University, 4800 Cao’an Highway, Shanghai 201804, China)

Abstract

Arc fault diagnosis is necessary for the safety and efficiency of PV stations. This study proposed an arc fault diagnosis algorithm formed by combining variational mode decomposition (VMD), improved multi-scale fuzzy entropy (IMFE), and support vector machine (SVM). This method first uses VMD to decompose the current into intrinsic mode functions (IMFs) in the time-frequency domain, then calculates the IMFE according to the IMFs associated with the arc fault. Finally, it uses SVM to detect arc faults according to IMFEs. Arc fault data gathered from a PV arc generation experiment platform are used to validate the proposed method. The results indicated the proposed method can classify arc fault data and normal data effectively.

Suggested Citation

  • Lina Wang & Hongcheng Qiu & Pu Yang & Longhua Mu, 2021. "Arc Fault Detection Algorithm Based on Variational Mode Decomposition and Improved Multi-Scale Fuzzy Entropy," Energies, MDPI, vol. 14(14), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4137-:d:591115
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    References listed on IDEAS

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    1. Lu, Shibo & Phung, B.T. & Zhang, Daming, 2018. "A comprehensive review on DC arc faults and their diagnosis methods in photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 88-98.
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    Cited by:

    1. Lina Wang & Ehtisham Lodhi & Pu Yang & Hongcheng Qiu & Waheed Ur Rehman & Zeeshan Lodhi & Tariku Sinshaw Tamir & M. Adil Khan, 2022. "Adaptive Local Mean Decomposition and Multiscale-Fuzzy Entropy-Based Algorithms for the Detection of DC Series Arc Faults in PV Systems," Energies, MDPI, vol. 15(10), pages 1-16, May.
    2. Chenying Li & Jie Chen & Wei Zhang & Libing Hu & Jingying Cao & Jianjun Liu & Zhenyu Zhu & Shuqun Wu, 2021. "Influence of Arc Size on the Ignition and Flame Propagation of Cable Fire," Energies, MDPI, vol. 14(18), pages 1-14, September.

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