A Deep Learning Technique for Detecting High Impedance Faults in Medium Voltage Distribution Networks
Received: 29 August 2022 | Revised: 8 September 2022 | Accepted: 9 September 2022 | Online: 16 September 2022
Corresponding author: S. Lavanya
Utility companies always struggle with the High Impedance Fault (HIF) in the electrical distribution systems. In this article, the current signal is seen in situations involving 10,400 different samples, with and without HIF, like linear, non-linear load, and capacitance switching. A better method that processes signals very fast and with low sample rates, requiring less memory and computational labor, is demonstrated by Mathematical Morphology (MM). For HIF identification, Deep Convolution Neural Networks (DCNNs) are being developed. This paper presents a novel method for signal processing with low sample rates, high signal processing speed, and low computational and memory requirements. The suggested six-layer DCNN is compared with other models, such as the four-layer and eight-layer DCNN models and the results are discussed.
Keywords:high impedance fault, mathematical morpologhy, deep convolution neural networks
A. Lazkano, J. Ruiz, L. A. Leturiondo, and E. Aramendi, "High impedance arcing fault detector for three-wire power distribution networks," in 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099), Lemesos, Cyprus, Dec. 2000, vol. 3, pp. 899–902 vol.3.
N. Narasimhulu, D. V. Ashok Kumar, and M. V. Kumar, "Classification of high impedance fault using MWT and enhanced fuzzy logic controller in power system," in Innovations in Power and Advanced Computing Technologies (i-PACT), Vellore, India, Apr. 2017, pp. 1–13. DOI: https://doi.org/10.1109/IPACT.2017.8244946
A.-R. Sedighi, M.-R. Haghifam, and O. P. Malik, "Soft computing applications in high impedance fault detection in distribution systems," Electric Power Systems Research, vol. 76, no. 1, pp. 136–144, Sep. 2005. DOI: https://doi.org/10.1016/j.epsr.2005.05.004
A. Aljohani, "Centralized Fault Detection and Classification for Motor Power Distribution Centers Utilizing MLP-NN and Stockwell Transform," in IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), The Hague, Netherlands, Oct. 2020, pp. 222–226. DOI: https://doi.org/10.1109/ISGT-Europe47291.2020.9248886
K. Sekar and N. K. Mohanty, "Combined Mathematical Morphology and Data Mining Based High Impedance Fault Detection," Energy Procedia, vol. 117, pp. 417–423, Jun. 2017. DOI: https://doi.org/10.1016/j.egypro.2017.05.161
K. Sekar and N. K. Mohanty, "A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter," Journal of King Saud University - Engineering Sciences, vol. 32, no. 3, pp. 177–185, Mar. 2020. DOI: https://doi.org/10.1016/j.jksues.2018.12.001
M. V. Reddy and R. Sodhi, "A rule-based S-Transform and AdaBoost based approach for power quality assessment," Electric Power Systems Research, vol. 134, pp. 66–79, May 2016. DOI: https://doi.org/10.1016/j.epsr.2016.01.003
A. H. A. Bakar, M. S. Ali, C. Tan, H. Mokhlis, H. Arof, and H. A. Illias, "High impedance fault location in 11kV underground distribution systems using wavelet transforms," International Journal of Electrical Power & Energy Systems, vol. 55, pp. 723–730, Feb. 2014. DOI: https://doi.org/10.1016/j.ijepes.2013.10.003
M. Mishra and P. K. Rout, "Detection and classification of micro-grid faults based on HHT and machine learning techniques," IET Generation, Transmission & Distribution, vol. 12, no. 2, pp. 388–397, 2018. DOI: https://doi.org/10.1049/iet-gtd.2017.0502
B. K. Chaitanya, A. Yadav, and M. Pazoki, "An Intelligent Detection of High-Impedance Faults for Distribution Lines Integrated With Distributed Generators," IEEE Systems Journal, vol. 14, no. 1, pp. 870–879, Mar. 2020. DOI: https://doi.org/10.1109/JSYST.2019.2911529
L. G. de Oliveira, M. de L. Filomeno, L. F. Colla, H. Vincent Poor, and M. V. Ribeiro, "Analysis of typical PLC pulses for sensing high-impedance faults based on time-domain reflectometry," International Journal of Electrical Power & Energy Systems, vol. 135, Feb. 2022, Art. no. 107168. DOI: https://doi.org/10.1016/j.ijepes.2021.107168
S. Gautam and S. M. Brahma, "Detection of High Impedance Fault in Power Distribution Systems Using Mathematical Morphology," IEEE Transactions on Power Systems, vol. 28, no. 2, pp. 1226–1234, Feb. 2013. DOI: https://doi.org/10.1109/TPWRS.2012.2215630
K. Rai, F. Hojatpanah, F. B. Ajaei, J. M. Guerrero, and K. Grolinger, "Deep learning for high-impedance fault detection and classification: transformer-CNN," Neural Computing and Applications, vol. 34, no. 16, pp. 14067–14084, Aug. 2022. DOI: https://doi.org/10.1007/s00521-022-07219-z
D. Pylarinos and I. Pellas, "Investigation of an Insulator Flashunder in an 150 kV OTL of the Power System of Crete," Engineering, Technology & Applied Science Research, vol. 9, no. 5, pp. 4851–4858, Oct. 2019. DOI: https://doi.org/10.48084/etasr.3198
S. R. Samantaray, "Decision tree-initialised fuzzy rule-based approach for power quality events classification," IET Generation, Transmission & Distribution, vol. 4, no. 4, pp. 538–551, Apr. 2010. DOI: https://doi.org/10.1049/iet-gtd.2009.0508
S. Kavaskar and N. K. Mohanty, "Detection of High Impedance Fault in Distribution Networks," Ain Shams Engineering Journal, vol. 10, no. 1, pp. 5–13, Mar. 2019. DOI: https://doi.org/10.1016/j.asej.2018.04.006
S. Lavanya, S. Prabakaran, and N. Ashok Kumar, "Behavioral Dynamics of High Impedance Fault Under Different Line Parameters," International Journal of Electrical and Electronics Research, vol. 10, no. 2, pp. 370–374, Jun. 2022. DOI: https://doi.org/10.37391/ijeer.100251
M. G. M. Zanjani, H. K. Karegar, H. A. Niaki, and M. G. M. Zanjani, "High Impedance Fault Detection of Distribution Network by Phasor Measurement Units," Smart Grid and Renewable Energy, vol. 4, pp. 297–305, Jun. 2013. DOI: https://doi.org/10.4236/sgre.2013.43036
S. Lavanya, S. Prabakaran, and N. A. Kumar, "Literature Review: High Impedance Fault in Power System and Detection Techniques," Mathematical Statistician and Engineering Applications, vol. 71, no. 3, pp. 944–958, Jun. 2022.
K. Sekar, K. Kanagarathinam, S. Subramanian, E. Venugopal, and C. Udayakumar, "An Improved Power Quality Disturbance Detection Using Deep Learning Approach," Mathematical Problems in Engineering, vol. 2022, 2022, Art. no. 7020979. DOI: https://doi.org/10.1155/2022/7020979
S. Lavanya, S. Prabakaran, and N. A. Kumar, "Analysis of High Impedance Fault using Discrete Wavelet Transform Technique," International Journal of Engineering Trends and Technology, vol. 70, no. 8, pp. 238–246, 2022. DOI: https://doi.org/10.14445/22315381/IJETT-V70I8P225
A. E. Emanuel, D. Cyganski, J. A. Orr, S. Shiller, and E. M. Gulachenski, "High impedance fault arcing on sandy soil in 15 kV distribution feeders: contributions to the evaluation of the low frequency spectrum," IEEE Transactions on Power Delivery, vol. 5, no. 2, pp. 676–686, Apr. 1990. DOI: https://doi.org/10.1109/61.53070
S. Andrews Zachariah, B. Satish Shenoy, J. Jayan, and K. D. Pai, "Experimental investigation on dynamic and static transverse behaviour of thin woven Carbon/Aramid hybrid laminates," Journal of King Saud University - Engineering Sciences, vol. 34, no. 4, pp. 273–281, May 2022. DOI: https://doi.org/10.1016/j.jksues.2020.09.015
A. Tariq, K. L. Khatri, M. I. U. Haque, M. A. Raza, S. Ahmed, and M. Muzammil, "Investigation of the Effects of Distributed Generation on Protection Coordination in a Power System," Engineering, Technology & Applied Science Research, vol. 11, no. 5, pp. 7628–7634, Oct. 2021. DOI: https://doi.org/10.48084/etasr.4338
N. Narasimhulu, D. V. Ashok Kumar, and M. Vijaya Kumar, "Detection and Classification of High Impedance Fault in Power Distribution System using Hybrid Technique," Journal of Circuits, Systems and Computers, vol. 29, no. 8, Jun. 2020, Art. no. 2050118. DOI: https://doi.org/10.1142/S0218126620501182
A. Mahari and H. Seyedi, "High impedance fault protection in transmission lines using a WPT-based algorithm," International Journal of Electrical Power & Energy Systems, vol. 67, pp. 537–545, May 2015. DOI: https://doi.org/10.1016/j.ijepes.2014.12.022
C. J. Lee, J. B. Park, J. R. Shin, and Z. M. Radojevie, "A new two-terminal numerical algorithm for fault location, distance protection, and arcing fault recognition," IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 1460–1462, Dec. 2006. DOI: https://doi.org/10.1109/TPWRS.2006.876646
R. Eslami, S. H. H. Sadeghi, and H. A. Abyaneh, "A Probabilistic Approach for the Evaluation of Fault Detection Schemes in Microgrids," Engineering, Technology & Applied Science Research, vol. 7, no. 5, pp. 1967–1973, Oct. 2017. DOI: https://doi.org/10.48084/etasr.1472
D. khalil Ibrahim, E. S. T. Eldin, E. M. Aboul-Zahab, and S. M. Saleh, "Real time evaluation of DWT-based high impedance fault detection in EHV transmission," Electric Power Systems Research, vol. 80, no. 8, pp. 907–914, Aug. 2010. DOI: https://doi.org/10.1016/j.epsr.2009.12.019
How to Cite
MetricsAbstract Views: 459
PDF Downloads: 380
Copyright (c) 2022 S. Lavanya, S. Prabakaran, N. Ashok Kumar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.