Abstract
Determining the identification of faulty phase in six-phase power transmission network (SPPTN) is intricate in comparison with other configurations of transmission network based upon the six-phases. For this issue, the feasible faulty phase is identified with the presented scheme in this study. Haar wavelet transform (HWT) is used to the current data only as a feature extraction tool, and thereafter, a threshold method is used for deciding the faulty phase. To endorse the justification, the scheme is applied to SPPTN model implemented in MATLAB. Faults on SPPTN have been successfully identified by using the fault current measured at the sending end bus of the SPPTN.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
E.U. Haq, H. Jianjun, K. Li, 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. (2020)
H. Okumus, F.M. Nuroglu, A random forest-based approach for fault location detection in distribution systems. Electr. Eng. (2020)
S. Biswas, P.K. Nayak, A fault detection and classification scheme for unified power flow controller compensated transmission lines connecting wind farms. IEEE Syst. J., 1–10 (2020)
D. Guillen, J.A. de la O Serna, A. Zamora-Mendez, M. Paternina, F. Salinas, Taylor-Fourier filter bank Implemented with O-splines for the detection and classification of faults. IEEE Trans. Ind. Inform. (2020)
Y. Belkhier, A. Achour, R.N. Shaw, Fuzzy passivity-based voltage controller strategy of grid-connected PMSG-based wind renewable energy system, in 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), Greater Noida, India, pp. 210–214 (2020). https://doi.org/10.1109/iccca49541.2020.9250838
G. Kapoor, R.N. Shaw, Identification of faults in parallel transmission lines using discrete Meyer wavelet, in 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), Greater Noida, India, pp. 736–741 (2020). https://doi.org/10.1109/iccca49541.2020.9250831
G. Kapoor, R.N. Shaw, A MMG indices-based scheme for fault detection in series-compensated power transmission system, in 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), Greater Noida, India, pp. 742–747 (2020). https://doi.org/10.1109/iccca49541.2020.9250714
D. Saravanan, A. Hasan, A. Singh, H. Mansoor, R.N. Shaw, Fault prediction of transformer using machine learning and DGA, in 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, pp. 1–5 (2020). https://doi.org/10.1109/gucon48875.2020.9231086
G. Kapoor, R.N. Shaw, Protection of dual-circuit transmission line integrated with wind-park using fast Walsh-Hadamard transform, in 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, pp. 480–485 (2020). https://doi.org/10.1109/gucon48875.2020.9231092
G. Kapoor, A. Mishra, R.N. Shaw, S. Ajmera, Complex faults categorization technique for series-compensated transmission lines connected with wind-turbines based on DFWHT, in 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, pp. 703–708 (2020). https://doi.org/10.1109/gucon48875.2020.9231152
R.N. Shaw, P. Walde, A. Ghosh, IOT based MPPT for performance improvement of solar PV arrays operating under partial shade dispersion, in 2020 IEEE 9th Power India International Conference (PIICON), SONEPAT, India, pp. 1–4 (2020). https://doi.org/10.1109/piicon49524.2020.9112952
G. Kapoor, R.N. Shaw, SWT-based fault recognition technique for six-phase transmission system, in 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, pp. 328–333 (2020). https://doi.org/10.1109/gucon48875.2020.9231216
D. Saravanan, D. Singh, S. Sinha, R.N. Shaw, K. Prabu, A comprehensive study of well-konown maximum power point tracking techniques, in 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, pp. 829–837 (2020). https://doi.org/10.1109/gucon48875.2020.9231219
R.S. Somalwar, S.G. Kadwane, R.N. Shaw, Frequency estimation by recursive least square in active islanding method for microgrid, in 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, pp. 116–123 (2020). https://doi.org/10.1109/gucon48875.2020.9231206
M.D. Siddique, R.N. Shaw et al., Switched-capacitor based seven-level triple voltage gain boost inverter (7L-TVG-BI), in 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, pp. 848–852 (2020). https://doi.org/10.1109/gucon48875.2020.9231182
Y. Belkhier, A. Achour, N. Ullah, R.N. Shaw, Modified passivity-based current controller design of permanent magnet synchronous generator for wind conversion system. Int. J. Model. Simul. (2020). https://doi.org/10.1080/02286203.2020.1858226
M. Abasi, A. Saffarian, M. Joorabian, S.S. Ghodratollah, Fault classification and fault area detection in GUPFC-compensated double-circuit transmission lines based on the analysis of active and reactive powers measured by PMUs. Measurement 169 (2021)
H.V. Gururaja Rao, N. Prabhu, R.C. Mala, Wavelet transform-based protection of transmission line incorporating SSSC with energy storage device. Electr. Eng. 102, 1593–1604 (2020)
O.O. Kalu, T.C. Madueme, Application of artificial neural network (ANN) to enhance power systems protection: a case of the Nigerian 330 kV transmission line. Electr. Eng. 100, 1467–1479 (2018)
M.N. Mahmud, M.N. Ibrahim, M.K. Osman et al., A robust transmission line fault classification scheme using class-dependent feature and 2-Tier multilayer perceptron network. Electr. Eng. 100, 607–623 (2018)
M.H.H. Musa, Z. He, L. Fu, Y. Deng, A covariance indices based method for fault detection and classification in a power transmission system during power swing. Int. J. Electr. Power Energy Syst. 105, 581–591 (2019)
ChD Prasad, P.K. Nayak, A DFT-ED based approach for detection and classification of faults in electric power transmission networks. Ain Shams Eng. J. 10(1), 171–178 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kapoor, G., Walde, P., Shaw, R.N., Ghosh, A. (2021). HWT-DCDI-Based Approach for Fault Identification in Six-Phase Power Transmission Network. In: Mekhilef, S., Favorskaya, M., Pandey, R.K., Shaw, R.N. (eds) Innovations in Electrical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 756. Springer, Singapore. https://doi.org/10.1007/978-981-16-0749-3_29
Download citation
DOI: https://doi.org/10.1007/978-981-16-0749-3_29
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-0748-6
Online ISBN: 978-981-16-0749-3
eBook Packages: EnergyEnergy (R0)