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Improved performance of detection and classification of 3-phase transmission line faults based on discrete wavelet transform and double-channel extreme learning machine

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Abstract

Power transmission lines are the key network that transmits energy from the generation side to load. The complexity and uncertainty in the power system increase continuously due to the evolution of the smart grid, which needs an effective and accurate protection system. The faults in transmission lines affect the whole power system and also the consumers’ side. Therefore, accurate and precise identification of faults in transmission lines minimizes the losses and maximizes the functionality and reliability of the power network. Due to the recent advances in digital technology, an online scheme is used to locate the fault in transmission lines. In this paper, machine learning-based discrete wavelet transform and double-channel extreme learning machine method are proposed to locate and classify the faults in transmission lines. Db4 wavelet is used as a mother wavelet in the discrete wavelet transform for feature extraction up to nine levels. The proposed method validated on real-time data which achieves higher classification accuracies and less fault detection time. Results show that high-impedance non-linear faults have no effect on the proposed technique.

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Authors and Affiliations

  1. ATR Key Laboratory, School of Electronics and Information Engineering, Shenzhen University, Shenzhen, China

    Ejaz Ul Haq, Huang Jianjun & Kang Li

  2. Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan

    Fiaz Ahmad

  3. Intelligent Control Automation of Process Systems Research Unit, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Pathumwan, Thailand

    David Banjerdpongchai

  4. Zunyi Medical University, Zunyi, China

    Tijiang Zhang

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  1. Ejaz Ul Haq
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  2. Huang Jianjun
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  3. Kang Li
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  4. Fiaz Ahmad
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  5. David Banjerdpongchai
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Correspondence to Huang Jianjun.

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Haq, E.U., Jianjun, H., Li, K. et al. Improved performance of detection and classification of 3-phase transmission line faults based on discrete wavelet transform and double-channel extreme learning machine. Electr Eng 103, 953–963 (2021). https://doi.org/10.1007/s00202-020-01133-0

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  • DOI: https://doi.org/10.1007/s00202-020-01133-0

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