Cover
Vol. 17 No. 2 (2021)

Published: December 31, 2021

Pages: 46-51

Original Article

Theft Control Based Master Meter Using Different Network Technologies

Doaa S. Abbood 1 Osama Y. K. Al-Atbee Ali Marhoon
1Electrical Engineering Department, University of Basrah, Basrah, Iraq
History
  • Received: July 5, 2021
  • Revised: July 30, 2021
  • Accepted: July 30, 2021
  • Available Online: July 31, 2021
DOI

https://doi.org/10.37917/ijeee.17.2.6

Abstract

The power theft is one of the main problems facing the electric energy sector in Iraq, where a large amount of electrical energy is lost due to theft. It is required to design a system capable of detecting and locating energy theft without any human interaction. This paper presents an effective solution with low cost to solve power theft issue in distribution lines. Master meter is designed to measures the power of all meters of the homes connected to it. All the measured values are transmitted to the server via GPRS. The values of power for all energy meters within the grid are also transmitted. The comparison between the power of the master meter and all the other meters are transmitted to the server. If there is a difference between the energy meters, then a theft is happened and the server will send a signal via GSM to the overrun meter to switch off the power supply. Raspberry pi is used as a server and equipped and programmed to detect the power theft.

Keywords

References

  1. S. S. Sreenadh, R. Depuru, L. Wangn and V. Devabhaktuni, “Electricity theft Overview, issues, prevention and a smart meter based Approach to control theft,” Energy Policy, vol. 39, no. 1, pp. 1007–1015, 2011.
  2. M. Anas, N. Javaid, A. Mahmood, S. M. Raza, U. Qasim and Z. A. Khan, “Minimizing Electricity Theft using Smart Meters in AMI,” International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2012.
  3. Depuru, Soma Shekara Sreenadh Reddy "Modeling, detection, and prevention of electricity theft for enhanced performance and security of power grid" The University of Toledo, 2012.
  4. Prasad, Jagdish, and Ravi Samikannu. "Overview, issues and prevention of energy theft in smart grids and virtual power plants in Indian context." Energy Policy, vol. 110, pp. 365-374, 2017.
  5. Nunoo, Solomon, and Joseph C. Attachie. "A methodology for the design of an electricity theft monitoring system." Journal of Theoretical & Applied Information Technology, vol.26, no. 2, 2011.
  6. Mufassirin, M.M., Hanees, A.L. and Shafana, M.S., “Energy theft detection and controlling system model using wireless communication media”, 5th Annual Science Research Session, pp. 123-130, 2016.
  7. Kumar, U. Kamal, Suresh Babu Daram, Mona Muntimadugu, and T.Nageswara Prasad, "Recognition of fault location and power theft in distribution system using gsm." International Journal of Pure and Applied Mathematics, vol. 114, no. 9, pp. 485-493, 2017.
  8. B. K. Barman, S. N. Yadav, S. Kumar and Sadhan Gope, “IOT Based Smart Energy Meter for Efficient Energy Utilization in Smart Grid,” 2nd International Conference on Energy, Power and Environment: Towards Smart Technology (ICEPE), 2018.
  9. A. Mahato, A. Nanda, A. Pal and C. Singh, "Electric Power theft detection and location Tracking using IOT",International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), vol. 4, no. 5, pp. 35-39, 2018.
  10. Anshu Singhal, “A Survey of IOT For Power Theft Detection, Fault Identification And Location Tracking”, International Journal of Science, Engineering and Technology Research (IJSETR), vol. 5, no. 5, May 2016.
  11. M. Uvais, “Controller Based Power Theft Location Detection System”, International Conference on Electrical and Electronics Engineering (ICE3), 2020.
  12. M. Istifanos, I. Tekahun, "performance evaluation of Raspberry pi3 B and web server", Faculty of computing, bleking institute of technology, SE-371 79 Karlskrona Sweden, 2020.
  13. Bilal Naji Alhasnawi, Basil H.Jasim, "Wireless Controlled Smart Home System", Iraqi Journal for Electrical and Electronic Engineering, Vol. 13, Issue 1, June 2017. DOI: 10.37917/ijeee.13.1.14.