Cover
Vol. 17 No. 2 (2021)

Published: December 31, 2021

Pages: 94-101

Original Article

Series and Parallel Arc Fault Detection in Electrical Buildings Based on Discrete Wavelet Theory

Elaf Abed Saeed 1 Khalid M. Abdulhassan Osama Y. K. Al-Atbee
1Electrical Engineering Department, University of Basrah, Basrah, Iraq
History
  • Received: July 3, 2021
  • Revised: August 15, 2021
  • Accepted: August 15, 2021
  • Available Online: August 21, 2021
DOI

https://doi.org/10.37917/ijeee.17.2.11

Abstract

Electrical issues such as old wires and faulty connections are the most common causes of arc faults. Arc faults cause electrical fires by generating high temperatures and discharging molten metal. Every year, such fires cause a considerable deal of destruction and loss. This paper proposes a new method for detecting residential series and parallel arc faults. A simulation model for the arc is employed to simulate the arc faults in series and parallel circuits. The fault features are then retrieved using a signal processing approach called Discrete Wavelet Transform (DWT) designed in MATLAB/Simulink based on the fault detection algorithm. Then db2 and one level were found appropriate mother and level of wavelet transform for extracting arc-fault features. MATLAB Simulink was used to build and simulate the arc-fault model.

Keywords

References

  1. Fire Safe Europe, FSEU publications, 2019, https://firesafeeurope.eu/fseupublications/, online, accessed: 11.05.2019.
  2. G. D. Gregory and G. W. Scott, "The arc-fault circuit interrupter: an emerging product," in IEEE Transactions on Industry Applications, vol. 34, no. 5, pp. 928-933, Sept.-Oct. 1998, doi: 10.1109/28.720431.
  3. H. Cheng, X. Chen, F. Liu and C. Wang, "Series Arc Fault Detection and Implementation Based on the Short- time Fourier Transform," 2010 Asia-Pacific Power and Energy Engineering Conference, Chengdu, China, 2010, pp. 1-4, doi: 10.1109/APPEEC.2010.
  4. M. H. Riza Alvy Syafi’i, E. Prasetyono, M. K. Khafidli, D. O. Anggriawan and A. Tjahjono, "Real Time Series DC Arc Fault Detection Based on Fast Fourier Transform," 2018 International Electronics Symposium on Engineering Technology and Applications (IES-ETA), Bali, Indonesia, 2018, pp. 25-30, doi: 10.1109/ELECSYM.2018.8615525.
  5. M. Naidu, T. J. Schoepf and S. Gopalakrishnan, "Arc fault detection scheme for 42-V automotive DC networks using current shunt," in IEEE Transactions on Power Electronics, vol. 21, no. 3, pp. 633-639, May 2006, doi: 10.1109/TPEL.2006.872385.
  6. N. Zamanan, J. Sykulski, and A. K. Al-Othman, “Arcing high impedance fault detection using real coded genetic algorithm,” Conference: Third IASTED Asian Conference Power and Energy Systems, pp. 197– 203, 2007.
  7. I. Khan and M. Critchley, “Arc fault detector,” 2000, vol. 25, no. 3, pp. 1–4. [Online]. Available: http://ebookbrowse.com/arc-fault-detector-paper-pdf- d245318580.
  8. J. L. Guardado, S. G. Maximov, E. Melgoza, J. L. Naredo and P. Moreno, "An improved arc model before current zero based on the combined Mayr and Cassie arc models," in IEEE Transactions on Power Delivery, vol. 20, no. 1, pp. 138-142, Jan. 2005, doi: 10.1109/TPWRD.2004.837814.
  9. Q. Yin and R. Ding, “Review of Arc Models in Distribution Networks,” matec web of conferences 61, 02016 (2016) DOI: 10.1051/MATCE.
  10. K. Koziy, B. Gou and J. Aslakson, "A Low-Cost Power- Quality Meter with Series Arc-Fault Detection Capability for Smart Grid," in IEEE Transactions on Power Delivery, vol. 28, no. 3, pp. 1584-1591, July 2013, doi: 10.1109/TPWRD.2013.2251753.
  11. R. Yu et al., "Modeling and simulation analysis of single-phase arc grounding fault based on MATLAB," Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Saeed, Abdulhassan & Khudair | 101 Information Technology, Harbin, China, 2011, pp. 4607- 4610, doi: 10.1109/EMEIT.2011.6024001.
  12. ZHANG Zhao-Ning, MAO Peng. "Singularity detection of fault transient signals in power system with wavelet transforms," Relay, vol. 28, no. 4, pp. 24-27, 2000.
  13. Wavelet Toolbox User’s Guide for MATLAB, Version 1, MathWorks 2009.
  14. Sadiq I. Hassan, Adil A. Obed, and Khalid M. Abdul- Hassan, “Practical implementation for stator faults Protection and diagnosis in 3-ph IM based on WPT and neural network,” The International Journal of Engineering and Science (IJES), Vol. 5, pp. 52-67, 2016.
  15. Michel Misti, Yves Misti, “Georges Oppenheim, and Jean-Michel Poggi, “Wavelet Toolbox, “User ‘s Guide, Math Works, July 2004.
  16. David C. Robertson, Octavia I. Camps, Jeffrey S. Mayer, and William B. Gish, “Wavelets and Electromagnetic Power System Transients,” IEEE Transactions on Power Delivery, Vol. 11, No. 2, pp. 1050- 1057, April 1996.