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Energy Theft Detector (ETD): A Salvage Module from Meter Bypassing and Illegal Tapping of Electricity
Subject area: Science,Engineering and Technology · Area of research: Energy-related
Abstract
Energy management and optimisation are part of the key performance indicators of good governance, in which the country has failed largely. Billions of naira has been expended on generation, transmission and distribution which yield little or no result. However, merely generating more power is not enough to meet present day requirements; power consumption and losses have to be closely monitored so that the generated power is utilized in an efficient manner. Illegal electricity usage is indirectly affecting the economic status of the country and the planning of national energy becomes difficult because of unrecorded energy usage. This proposed Energy Theft Detector (ETD) consists of PZEM Energy Meter with current transformer to monitor energy consumption, detect meter bypassing and illegal tapping. For effective access of utility provider to energy consumption data that is running on a remote server, ESP-32 was employed. The data sent through this GPRS Interface was hosted on hosting platform called 00webhost. The method of weight function-based control was used to determine current imbalances between node at distribution pole and consumer?s smart meter. In order to set threshold watt values for anomalies of energy consumption, consumer consumption behaviour was studied and piloted. This makes this method perform more effectively and accurately with low false-positive rate. If implemented, it would be a potential test case that can reduce energy theft in the country.
Keywords
Bypassing, Distribution, Current, Energy, Threshold.
References
[1] W. Li, T. Logenthiran, V.-T. Phan, and W. L. Woo, (2016) “Intelligent multiagent system for power grid communication,” Region 10 Conference (TENCON), 2016 IEEE. IEEE, 2016, pp. 3386–3389.
[2] Li Weixian, Logenthiran Thillainathan, Phan Van Tung and Woo, Wai Lok (2019) “ A Novel Smart Energy Theft System (SETS) for IoT based Smart Home”. IEEE, Internet of Things Journal, 6 (3). pp. 5531-5539. ISSN 2327-4662 Northumbria Research, Link:http://nrl.northumbria.ac.uk/id/eprint/38304/
[3] Abdulrahaman Okino Otuoze., Mohd Wazir Mustafa., Olatunji Obalowu Mohammed., Muhammad Salman Saeed., Nazmat Toyin Surajudeen-Bakinde., Sani Salisu.(2019)“Electricity theft detection by sources of threats for smart city planning”, IET Smart Cities, 2019, Vol. 1 Iss. 2, pp. 52-60
[4] Ahmad, T., Ul Hasan, Q.: (2016) ‘Detection of frauds and other non-technical losses in power utilities using smart meters: a review’, Int. J. Emerg. Electr. Power Syst., 2016, 17, (3), pp. 217–234
[5] https://thenextier.com/the-impacts-of-electricity-theft-on-the-power-sector/
[6] N. O. Shokoya , & A. K. Raji, (2019) “Electricity theft mitigation in the Nigerian power sector” International Journal of Engineering &Technology, 8 (4) (2019) 467-472.
[7] M. O. Obafemi, E. A. Oluwole, T.E. Omoniyi, P.N Meduna, A.S. Alaye (2021) “Prevalence Of Electricity Theft Among Households In Lagos State, Nigeria” Journal of Technology (NIJOTECH) Vol. 40, No. 5, September 2021. 2.2.3.5
[8] Divam Lehri and Arjun Choudhar (2019) “A Survey of Energy Theft Detection Approaches in Smart Meters”, In book: Intelligent Energy Management Technologies ICAEM 2019 (pp.9-24), Publisher: Springer
[9] H.O. Henriques, R.L.S. Corrêa, M.Z. Fortes ⇑ , B.S.M.C. Borba, V.H. Ferreira (2020) “Monitoring technical losses to improve non-technical losses estimation and detection in LV distribution systems” https://doi.org/10.1016/j.measurement.2020.107840
[10] Abdulrahaman Okino Otuoze, Mohd Wazir Mustafa1, Olatunji Obalowu Mohammed, Muhammad Salman Saeed1, Nazmat Toyin Surajudeen-Bakind, Sani Salisu (2019) “Electricity theft detection by sources of threats for smart city planning” IET Smart Cities, 2019, Vol. 1 Iss. 2, pp. 52-60
[11] Celimpilo Lindani Zulu, Oliver Dzobo “Real-time power theft monitoring and detection system with double connected data capture system” Electrical Engineering (2023) 105:3065–3083 https://doi.org/10.1007/s00202-023-01825-3
[12] Nicholas N (2017) Analysis: Electricity theft in South Africa, June 27, 2017. [Online]. Available: https://www.smart-energy. Com/features-analysis/electricity-theft-south-africa/
[13] Foudeh, H. A and Mokhtar, A. S (2015) Automated meter reading and Advanced metering infrastructure projects, In: 9th Jordanian international electrical and electronics engineering conference (JIEEEC), pp. 1–6, 12–14
[14] Mohammad N, Barua A, Arafat MA (2013) A smart prepaid energy metering system to control electricity theft, Proc. 2013 Int. Conf. Power, Energy Control. ICPEC 2013, pp. 562–565 15. Kumar R, Arora S, Singh S, Tomar A (2017) Design of intelligen
[15] Shinde P S, Maskar S, Pise A, Salunkh S (2019) IoT based Power Theft Detection. J Opt Commun Electron 5(1):19–23
[16] Asogwa TC, Isizoh AN, Nwobodo HN, Okide SO (2014) Automatic power theft locator. Int J Innov Sci Eng Technol. 1:375–
[17] Ogu RE, Chukwudebe GA, Ezenugu IA (2016) An IoT based tamper prevention system for electricity meter. Am J Eng Res - AJER 5:347–353
[18] Olusegun Mayowa Komolafe & Kingsley Monday Udofia (2022) “A Technique for Electrical Energy Theft Detection and Location in Low Voltage Power Distribution Systems” Engineering and Applied Sciences 2020; 5(2): 41-49
[19] Ivan Petrlik, Pedro Lezama, Ciro Rodriguez, Ricardo Inquilla, Julissa Elizabeth Reyna-González, Roberto Esparza. (2022) “Electricity Theft Detection using Machine Learning” (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 13, No. 12, 2022
[20] Afrah Naeem & Nadeem Javaid,” A Practical Electricity Theft Detection-Smart System (ETD-SS) for Smart Homes” https://www.researchgate.net
[21] PZEM-004T-V3.0-Datasheet-User-Manual.
[22] TTGO T-Call V1.4 ESP32 Wireless Module- User-Manual
[23] Md Atiqur Rahman and Jayanti Choudhary (2023) “IoT-based compensation and control of power theft in weak distribution system” Eng. Res. Express 5 04505
How to cite this paper
@article{1705746,
author = {Oladosu, D. A },
title = {Energy Theft Detector (ETD): A Salvage Module from Meter Bypassing and Illegal Tapping of Electricity},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {7},
number = {11},
pages = {196-204},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/17057461.pdf},
abstract = {Energy management and optimisation are part of the key performance indicators of good governance, in which the country has failed largely. Billions of naira has been expended on generation, transmission and distribution which yield little or no result. However, merely generating more power is not enough to meet present day requirements; power consumption and losses have to be closely monitored so that the generated power is utilized in an efficient manner. Illegal electricity usage is indirectly affecting the economic status of the country and the planning of national energy becomes difficult because of unrecorded energy usage. This proposed Energy Theft Detector (ETD) consists of PZEM Energy Meter with current transformer to monitor energy consumption, detect meter bypassing and illegal tapping. For effective access of utility provider to energy consumption data that is running on a remote server, ESP-32 was employed. The data sent through this GPRS Interface was hosted on hosting platform called 00webhost. The method of weight function-based control was used to determine current imbalances between node at distribution pole and consumer?s smart meter. In order to set threshold watt values for anomalies of energy consumption, consumer consumption behaviour was studied and piloted. This makes this method perform more effectively and accurately with low false-positive rate. If implemented, it would be a potential test case that can reduce energy theft in the country.},
keywords = {Bypassing, Distribution, Current, Energy, Threshold.},
month = {May},
}