Open Access Open Access  Restricted Access Subscription or Fee Access

Fault Classification on a Power Transmission Line Using Discrete Wavelet Transform and Artificial Neural Networks


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/iree.v14i5.17017

Abstract


Classifying and identifying the disturbances in power transmission lines have been challenging tasks for accurate and reliable protection of power transmission line. This paper deals with the design of a Discrete Wavelet Transform (DWT) and an Artificial Neural Network (ANN) based on relay for transmission line fault classification. Applying any form of wavelet transforms produces details, which are related to high frequency components, as well as approximations, which are related to low frequency components at each level of resolution. A simulation setup is developed for collecting various phases’ currents waveforms for purposes of selecting the optimal mother wavelet and the number of levels of resolutions. The Daubechies (db5) mother wavelet with one level of resolution is found to be optimal in providing adequate information in order to detect and classify transmission lines faults. The proposed approach is used to classify shunt and series faults. The proposed algorithm is tested using MATLAB/Simulink on a data collected from a typical transmission line.
Copyright © 2019 Praise Worthy Prize - All rights reserved.

Keywords


Fault Classification; Power Transmission Line; Discrete Wavelet Transform (DWT); Artificial Neural Networks (ANN); Feedforward Architecture; Fault Diagnosis

Full Text:

PDF


References


Anderson, P. M., & Fouad, A. A. (2008). Power system control and stability. John Wiley & Sons.

Gurevich, V. (2018). Electric relays: Principles and applications. CRC Press.

Warrington, A. V. C. (2012). Protective Relays: Their Theory and Practice Volume One. Springer Science & Business Media.

Okundamiya, M. S. (2016). Power electronics for grid integration of wind power generation system. Journal of Communications Technology, Electronics and Computer Science, 9, 10-16.
https://doi.org/10.22385/jctecs.v9i0.129

M. S. Sachdev, Computer Relaying Tutorial Text, 1979.

Akhikpemelo, A., Evbogbai, M., Okundamiya, M., Fault Detection on a 132kV Transmission Line Using Artificial Neural Network, (2019) International Review of Electrical Engineering (IREE), 14 (3), pp. 220-225.
https://doi.org/10.15866/iree.v14i3.17054

Gu, X., Yang, S., Liu, Y., Deng, F., & Ren, B. (2018). Compound faults detection of the rolling element bearing based on the optimal complex Morlet wavelet filter. Journal of Mechanical Engineering Science, 232(10), 1786-1801.
https://doi.org/10.1177/0954406217710673

Gonzalez, C., Tant, J., Germain, J. G., De Rybel, T., & Driesen, J. (2018). Directional, High-Impedance Fault Detection in Isolated Neutral Distribution Grids. IEEE Transactions on Power Delivery, 33(5), 2474-2483.
https://doi.org/10.1109/tpwrd.2018.2808428

Wei, M., Shi, F., Zhang, H., Jin, Z., Terzija, V., Zhou, J., & Bao, H. (2019). High Impedance Arc Fault Detection based on the Harmonic Randomness and Waveform Distortion in the Distribution System. IEEE Transactions on Power Delivery.
https://doi.org/10.1109/tpwrd.2019.2929329

Moosaviyan, I., Seifossadat, S., Kianinezhad, R., Fault Location in High Voltage Transmission Line with Current Traveling Wave, (2018) International Journal on Engineering Applications (IREA), 6 (4), pp. 112-117.
https://doi.org/10.15866/irea.v6i4.16019

Feilat, E. A., & Al-Tallaq, K. N. (2005). An artificial neural network approach for three-zone distance protection. International Journal of Modelling and Simulation, 25(4), 291-298.
https://doi.org/10.1080/02286203.2005.11442342

Soufi, Y., Bahi, T., Harkat, M., Mohammedi, M., Fault Diagnosis Methods for Three Phase PWM Inverter Fed Induction Motor, (2018) International Journal on Engineering Applications (IREA), 6 (4), pp. 122-127.
https://doi.org/10.15866/irea.v6i4.16022

Chen, J., & Aggarwal, R. K. (2012). A new approach to EHV transmission line fault classification and fault detection based on the wavelet transform and artificial intelligence. IEEE Power and Energy Society General Meeting (pp. 1-8).
https://doi.org/10.1109/pesgm.2012.6344762

Ray, P., Mishra, D. P., Dey, K., & Mishra, P. (2017). Fault Detection and Classification of a Transmission Line Using Discrete Wavelet Transform & Artificial Neural Network. International Conference on Information Technology, (pp. 178-183).
https://doi.org/10.1109/icit.2017.24

Celeita Rodriguez, D., Ramos, G., Sakis Meliopoulos, A., Transmission Line Protective Relay Based on Recursive Least-Square Filters and Weights Analysis, (2018) International Review on Modelling and Simulations (IREMOS), 11 (5), pp. 277-287.
https://doi.org/10.15866/iremos.v11i5.14872

Baù, M., Benato, R., Dambone Sessa, S., Poli, M., Quaciari, C., Review of the Fault Location Methods for Phase-to-Ground Short Circuits in Unearthed Sub-Transmission Networks, (2017) International Review of Electrical Engineering (IREE), 12 (1), pp. 82-89.
https://doi.org/10.15866/iree.v12i1.11198

Chen, Y. Q., Fink, O., & Sansavini, G. (2018). Combined Fault Location and Classification for Power Transmission Lines Fault Diagnosis with Integrated Feature Extraction. IEEE Transactions on Industrial Electronics, 65(1), 561-569.
https://doi.org/10.1109/tie.2017.2721922

Blatter, C. (2018). Wavelets: a primer. AK Peters/CRC Press.

Randy, K. Y., & Young, K. (1993). Wavelet Theory and Its Application.

Mallat, S. (1999). A wavelet tour of signal processing. Elsevier.

Das, S., Singh, S. P., & Panigrahi, B. K. (2017). Transmission line fault detection and location using Wide Area Measurements. Electric Power Systems Research, 151, 96-105.
https://doi.org/10.1016/j.epsr.2017.05.025

Saravanababu, K., Balakrishnan, P., & Sathiyasekar, K. (2013). Transmission line faults detection, classification, and location using Discrete Wavelet Transform. International Conference on Power, Energy and Control (ICPEC), (pp. 233-238).
https://doi.org/10.1109/icpec.2013.6527657

Kasztenny, B., Lukowicz, M., & Rosolowski, E. (1997). Selecting type of a neural network, pre- and post-processing algorithms for power transformer relaying. In The 1997 32nd Univertsities Power Engineering Conference, UPEC'97. Part 2(of 2) (pp. 708-712).

Dalstein, T., & Kulicke, B. (1995). Neural network approach to fault classification for high speed protective relaying. IEEE Transactions on Power Delivery, 10(2), 1002-1011.
https://doi.org/10.1109/61.400828

Saleh, S. A., Radwan, T. S., & Rahman, M. A. (2007). Real-time testing of WPT-based protection of three-phase VS PWM inverter-fed motors. IEEE Transactions on Power Delivery, 22(4), 2108-2115.
https://doi.org/10.1109/tpwrd.2007.905559

Li, B., Zhou, E., Huang, B., Duan, J., Wang, Y., Xu, N., & Yang, H. (2014, July). Large scale recurrent neural network on GPU. In IJCNN (Vol. 14, pp. 4062-4069).
https://doi.org/10.1109/ijcnn.2014.6889433

Thanh Viet, D., Huu Hieu, N., Minh Khoa, N., A Method for Monitoring Voltage Disturbances Based on Discrete Wavelet Transform and Adaptive Linear Neural Network, (2016) International Review of Electrical Engineering (IREE), 11 (3), pp. 314-322.
https://doi.org/10.15866/iree.v11i3.8344

Cherif, B., Bendiabdellah, A., Khelif, M., Detection of Open-Circuit Fault in a Three-Phase Voltage Inverter Fed Induction Motor, (2016) International Review of Automatic Control (IREACO), 9 (6), pp. 374-382.
https://doi.org/10.15866/ireaco.v9i6.10268

Mazari, M., Boudinar, A., Mazari, B., Effect of Open Circuit Fault on PMSM Drive Controlled by Sliding Mode Control and Feedback Linearization Using Time and Frequency Analysis, (2018) International Review on Modelling and Simulations (IREMOS), 11 (4), pp. 235-244.
https://doi.org/10.15866/iremos.v11i4.14109

Strack, J., Carugati, I., Orallo, C., Donato, P., Maestri, S., Carrica, D., Analysis of Drawbacks and Constraints of Classification Algorithms for Three-Phase Voltage Dips, (2018) International Review of Electrical Engineering (IREE), 13 (1), pp. 23-36.
https://doi.org/10.15866/iree.v13i1.13391


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize