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Fault Location and Section Identification Algorithm on Multi-Terminal Transmission Lines Using DWT

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Abstract

The location of a fault on a multi-terminal transmission line is necessary for restoring the network as quickly as possible to maintain reliable power supply. Phasors-based fault locators are well-established approaches in conventional algorithms and face complexity in locating faults at far-end cases and between tapped points. Due to non-availability of information between tapped points, the reliability of fault locator schemes may provide erroneous computations. This paper concentrates on developing a reliable approach to obtain accurate fault locations and identifies the exact faults that occur in terminal line or between the tapped points on multi-terminal transmission lines using the discrete wavelet transform (DWT). Due to its reduced computing overhead and elimination of the expeditious Fourier transform’s disadvantages, the DWT is well suited for practical use (FFT). The arrival periods of the succeeding peak waves produced by the fault are determined using the travelling wave theory, and these findings are subsequently employed to accurately determine the fault location. The technique performance is elucidated using MATLAB/SIMULINK environment by considering standard transmission lines of four terminals, five terminals and six terminals, respectively. The numerical results produced under various fault situations by different fault types, fault resistance and fault initiation angles to confirm the efficacy of the proposed method. The method performance is also validated on renewable integrated transmission network and results showcase the proposed method is immune to any configuration of a power system.

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Acknowledgements

The author expresses sincere gratitude to Dr. Ch. Maha Lakshmi and Dr. P. Kantarao for their valuable contributions in the completion of this research. The author also expresses gratitude for the support received from colleagues and fellow scholars within the department.

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The authors assert that they did not get any financial assistance, grants, or other forms of support while preparing this work.

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Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Chidambaram, 608002, India

    S. K. Nazeer & C. Mahalakshmi

  2. Department of Electrical & Electronics Engineering, S.R.K.R. Engineering College, Bhimavaram, 534204, India

    S. K. Nazeer & P. Kanta rao

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  1. S. K. Nazeer
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  2. C. Mahalakshmi
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  3. P. Kanta rao
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Contributions

All authors contributed to the study’s conception and design. The first author was responsible for the material preparation, data gathering, and analysis. The initial iteration of the manuscript was authored by the primary author, with further revisions and contributions from all co-authors. The final manuscript was read and approved by all authors.

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Correspondence to S. K. Nazeer.

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Appendix

Appendix

The DFIG quantities are detailed below [20]. See Table 

Table 4 Parameters of the DFIG
Full size table

4.

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Nazeer, S.K., Mahalakshmi, C. & rao, P.K. Fault Location and Section Identification Algorithm on Multi-Terminal Transmission Lines Using DWT. J. Inst. Eng. India Ser. B (2024). https://doi.org/10.1007/s40031-024-01016-z

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