Journal of Electronics and Informatics
IRO Journals
Volume 3 — Issue 1 — March 2021

Effective Automatic Fault Detection in Transmission Lines by Hybrid Model of Authorization and Distance Calculation through Impedance Variation

https://doi.org/10.36548/jei.2021.1.004
Bindhu V
Professor and Head, Department of Electronics and Communication Engineering, PPG Institute of Technology, Villankurichi Saravanampatti P.O, Coimbatore, India
G. Ranganathan
Head of the department, Department of Electronics & Communication Engineering, Gnanamani College of Technology, Namakkal
PDF
PDF

How to Cite

V, Bindhu, and G. Ranganathan. 2021. “Effective Automatic Fault Detection in Transmission Lines by Hybrid Model of Authorization and Distance Calculation through Impedance Variation”. Journal of Electronics and Informatics 3 (1): 36-48. https://doi.org/10.36548/jei.2021.1.004.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— Transmission line faults
— Microcontroller
— ZigBee
— GSM
Published: 27-03-2021

Abstract

Fault detection in the transmission is a challenging task when examining the accuracy of the system. This fault can be caused by a man-made force or by using concurrent overvoltage in the power distribution line. This research focuses on two sections to handle the power transmission line problem and can be rectified as previously stated. An intelligent approach is utilized for monitoring and controlling line faults in order to improve the accuracy of the equipment in transmission line fault detection. After several iterations of the procedure, the combination of line and master unit improves the system's accuracy and reliability. The master unit identifies faulty poles in the network based on the variation of current and voltage of each node and calculates the distance between the station and the faulty node to reduce manual effort. In the proposed work, many sensors are used to detect the line fault in a network by placing the appropriate point. The pure information can be transferred to an authorized person or unit after many iterations due to knowledgeable devices. The faulty status of the pole information is displayed in the control unit by a display unit comprised of an alarm unit to alert the corresponding section using ZigBee techniques. The GSM unit provides the faulty status of an authorized person to rectify the problems immediately which further improve the reliability of the system. When compared to existing methods, our hybrid proposed method achieves a higher accuracy of 90%. This method aids to reduce the labor costs gradually to visit all-pole points instead of faulty pole points and thereby increasing the reliability of the electrical consumers.

References

  1. P.A.Gulbhile, J.R.Rana, B.T.Deshmukh ,Review for Overhead Line Fault Detection Using GSM technology, Vol. 5, Issue 12, December 2016.
  2. Bhanuprakash, Arun. C, Akhil Satheesh . Automatic Power Line Fault Detector. Vol. 6, Special Issue 4, March 2017
  3. Okokpujie Kennedy, Amuta Elizabeth, Okonigene Robert, Samuel John, Monitoring and Fault Detection System For Power Transmission Using Gsm Technology, Int'l Conf. Wireless Network.
  4. K. Nareshkumar, Member, IEEE, M. A. Choudhry, Senior Member, IEEE, J. Lai, A. Feliachi, Senior Member, IEEE. Application of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems. on June 03,2010.
  5. Devanand Samuel S, Bashyam. Fault Detection on Transmission Line Using Thermopile Array and Real time IR Bitmap Generation. 2014 IJEDR | Volume 2, Issue 2 | ISSN: 2321-9939.Via Bluetooth. Online ISSN: 2249-4596 & Print ISSN: 0975-5861.
  6. Neeta D. Sonwane, Prof. Devidas D. Dighe . Fault Detection and Autoline Distribution System with GSM Module. Volume 4 Issue IX, September 2016. IJRASETS. Chen, B. Mulgrew, and P. M. Grant, “A clustering technique for digital communications channel equalization using radial basis function networks,” IEEE Trans. on Neural Networks, vol. 4, pp. 570-578, July 1993.
  7. Vikramsingh R. Parihar, Line Trap and Artificial Inteligence Based Double Ciruit Tranmission Line Fault Classification, IEEE International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS 2017).
  8. Ing. Komi Agbesi, Felix Attuquaye Okai . AUTOMATIC FAULT DETECTION AND LOCATION IN POWER TRANSMISSION LINES USING GSM TECHNOLOGY. Vol.no.5 issue 01, January 2016
  9. S.Leelakrishnan, V.Ganesharavinth, K.Kalpana, P.Sivaranjani, S.Vijaykumar . Distribution Side Fault Detection and Disconnection Using GSM. Vol. 6, Issue 3, March 2017
  10. Chandra shekar. P .Transmission Line Fault Detection & Indication through GSM .ISSN (Online): 2347 - 2812, Volume-2, Issue -5, 2014 .
  11. Mr. Nilesh S.Wani, Dr. R. P. Singh . TRANSMISSION LINE FAULTS DETECTION- A REVIEW. Volume 7, Issue 2, March-April, 2016
  12. A. Lavric, V. Popa, C. Males, and I. Finis, “A Performance Study of ZigBee Wireless Sensors Network Topologies for Street Lighting Control Systems,” in 2012 International Conference on Selected Topics in Mobile and Wireless Networking (iCOST), 2012, pp. 130–133.
  13. M. N. Jivani, “GSM Based Home Automation System Using App-Inventor for Android Mobile Phone,” Int. J. Adv. Res. Electr. Electron. Instrum. Eng., vol. 03, no. 09, pp. 12121–12128, 2014.
  14. Xiaoxin Xu, Mingguang Wu, Cheng Ding, Bin Sun, and Jiangwei Zhang, “Outdoor Wireless Healthcare Monitoring System for Hospital Patients based on ZigBee,” in 2010 5th IEEE Conference on Industrial Electronics and Applications, 2010, pp. 549– 554.
  15. A. A. Siddiqui, A. W. Ahmad, H. K. Yang, and C. Lee, “ZigBee based Energy Efficient Outdoor Lighting Control System,” Adv. Commun. Technol. (ICACT), 2012 14th Int. Conf., pp. 916–919, 2012.
  16. prof. m. s. sujatha, dr. m vijaykumar. on-line monitoring and analysis of faults in transmission and distribution lines using gsm technique. 30th November 2011. Vol. 33 No.2 © 2005 - 2011 JATIT & LLS. All rights reserved.
  17. R. N. Patel, Mamta Patel, Fault Detection and Classification on a Transmission Line using Wavelet Multi Resolution Analysis and Neural Network. International Journal of Computer Applications (0975 – 8887) Volume 47– No.22, June 2012
  18. Sushil Chavhan, Vaibhav Barsagade, Abhijit Dutta, Shubhangi Thakre. Fault Detection in Power Line Using Wireless
  19. By MD Asaduzzaman Nur, Jahidul Islam, Md. Golam Mostofa & M oshiul Alam Chowdhury Transmission Line Fault Detection Using Android Application
  20. Preethi Manivannan , Prof. Manik Hapse , Fast and Accurate Fault Detection in Transmission Line using Wavelet Transform . Volume 2 | Issue 11 | April 2016. Sensor Network . Volume 3, Issue 3, March 2015. (IIJEE)
  21. Das R., Sachdev, M. S. and Sidhu, T. S. (2000), A Fault Locator for Radial Sub Transmission and Distribution Lines”, In Proceedings of IEEE PES Summer Meeting, pp. 443-448.
  22. Senger, E. C., Manassero, G., Goldemberg, C. and Pellini, E. L. (2005), Automated Fault Location System for Primary Distribution Networks, IEEE Transactions on Power Delivery, pp. 1332-1340.
  23. Al-Shaher, M., Sabra, M. M. and Saleh, A.S. (2003), Fault Location in Multi-Ring Distribution Network using Artificial Neural Network, Electric Power Systems Research. pp. 87-92.
  24. Wang, C., Nouri, H. and Davies, T. S. (2000), A Mathematical Approach for Identification of Fault Sections on the Radial Distribution Systems, 10 Mediterranean Electrotechnical Conference (MELECON), pp. 882-886.