Design and Hybrid Simulation of a Larceny Deterrent Energy Evaluation System

Keywords: Arduino simulation, Electric larceny detection, Energy metering system, GSM module, Power consumer, Proteus

Abstract

The unreliability of the energy system to provide a proper account of energy utilized by consumers has been a huge burden on the distribution system network. Different metering methods and designs to detect and prevent fraud, employed in the past have proven fruitless, thus signalling the need for a much smarter energy metering system. The most frequent problem is electricity larceny, this has incurred a major economic loss in the energy distribution system. To this end, this paper presents the distinctive design and hybrid simulation of a larceny deterrent energy evaluation system, capable of detecting different methods of energy theft within power consumer premises. The method employed comprises of deep understudy of previous work in this field, a model is proposed and is simulated under good working conditions and several theft situations using MATLAB while the hardware is simulated using Proteus 8.1 and Arduino software. In conclusion, the efficiency of the proposed system is evaluated by employing different electric theft algorithms, with the results indicating significant energy cost savings in the distribution network.

Downloads

Download data is not yet available.

Author Biography

Golden Enobakhare, Ambrose Alli University

Electrical/Electronics Engineering

References

S. A. Salinas, P. Li, “Privacy-preserving energy theft detection in micro-grids: A state estimation approach,” IEEE Transactions on Power Systems, vol. 31, no. 2, pp. 883-894, 2016.

S. Saini, “Social and behavioural aspects of electricity theft: An explorative review,” International Journal of Research in Economics and Social Sciences, vol. 7, no. 6, pp. 26-37, 2017.

S. Weerakkody, B. Sinopoli, “Challenges and opportunities: Cyber-physical security in the smart grid,” in Smart Grid Control: Springer, pp. 257-273, 2019.

J. B. Leite, J. R. S. Mantovani, "Detecting and locating non-technical losses in modern distribution networks," IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 1023-1032, 2018.

A. Jindal, A. Dua, K. Kaur, M. Singh, N. Kumar, S. Mishra, “Decision tree and SVM based data analytics for theft detection in smart grid,” IEEE Transactions on Industrial Informatics, vol. 12, no. 3, pp. 1005-1016, 2016.

S. S. S. R. Depuru, L. Wang, V. Devabhaktuni, “Support vector machine based data classification for detection of electricity theft,” in Power Systems Conference and Exposition, 2011 IEEE/PES, pp. 1-8, 2011.

J. Nagi, K. Yap, S. Tiong, S. Ahmed, A. Mohammad, “Detection of abnormalities and electricity theft using genetic support vector machines,” in TENCON 2008-2008 IEEE Region 10 Conference, pp. 1-6, 2008.

N. Mohammad, A. Barua, M. A. Arafat, “A smart prepaid energy metering system to control electricity theft,” in 2013 International Conference on Power, Energy and Control, pp. 562–565, 2013.

V. Gaur, E. Gupta, “The determinants of electricity theft: An empirical analysis of Indian states,” Energy Policy, vol. 93, pp. 127–136, 2016.

C. A. Awosope, "Nigeria electricity industry: issues, challenges and solutions," Covenant University Public Lecture Series, vol. 3, no. 2, p. 40, 2014

D. R. Boccardo, L. C. G. dos Santos, L. F. R. da Costa Carmo, M. H. Dezan, R. C. S. Machado, S. de Aguiar Portugal, “Software evaluation of smart meters within a Legal Metrology perspective: A Brazilian case,” in 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), pp. 1-7, 2010.

B. Saikiran, R. Hariharan, “Review of methods of power theft in power system,” International Journal of Emerging Scientific and Engineering Research,vol. 5, no. 11, 2014.

S. Siboni, A. Cohen, “Universal anomaly detection: Algorithms and applications,” arXiv preprint arXiv, 2015, https//doi.org/1508.03687.

J. L. Viegas, P. R. Esteves, R. Melıcio, V. M. F. Mendes, S. M. Vieira, “Solutions for detection of non-technical losses in the electricity grid: a review,” Renewable and Sustainable Energy Review, vol. 80, pp. 1256–1268, 2017.

A. Khan, W. Xe, S. A. Qureshi, M. Ilyas, J. Lin, G. Liu, “Designing and Modelling of automated anti-theft electricity distribution system, Web of Conference, vol. 160, no. 02010, 2018.

M. U. Hashmi and J. G. Priolkar, "Anti-theft energy metering for smart electrical distribution system," 2015 International Conference on Industrial Instrumentation and Control, pp. 1424-1428, 2015.

G. G. Kailas, M. S. Baliran, G. M. Ashok, P. S. Utereshwar, “An advanced smart anti-theft energy metering system for developing countries,” International Journal of Engineering Research and Technology, vol.7, no.8, 2019.

A. V. Christopher, G. Swaminathan, M. Subramanian, P. Thangaraj, “Distribution line monitoring system for the detection of power theft using power line communication,” in 2014 IEEE Conference on Energy Conversion, pp. 55–60, 2014.

S. S. S. R. Depuru, L. Wang, V. Devabhaktuni, “Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft,” Energy Policy, vol. 39, no. 2, pp. 1007–1015, 2011.

Z. G. Usman, S. Abbasoglu, N. T. Ersoy, M. Fahrioglu, “Transforming the Nigerian power sector for sustainable development,” Energy Policy, vol. 87, pp. 429–437, 2015.

U. P. Onochie, H. O. Egware, and T. O. Eyakwanor, “The Nigeria Electric Power sector (opportunities and challenges),” J. Multidiscip. Eng. Sci. Technol., vol. 2, no. 4, pp. 494–502, 2015.

S. S. S. R. Depuru, L. Wang, V. Devabhaktuni, and N. Gudi, “Measures and setbacks for controlling electricity theft,” North American Power Symposium 2010, NAPS 2010, pp. 1–8, 2010.

Published
2022-08-31
How to Cite
Enobakhare, G., & Ogunbor, S. E. (2022). Design and Hybrid Simulation of a Larceny Deterrent Energy Evaluation System. International Journal of Emerging Scientific Research, 4, 1-14. https://doi.org/10.37121/ijesr.vol4.193
Section
Research Articles