Abstract
Background: In the present scenario, electricity theft is a major problem for the government.
This problem affects the Indian economy since GDP goes down due to theft. Electricity is a
part of living and its theft affects the common man who indirectly pays for the theft done by someone
else in the form of extra charges.
Methods: In this paper, we present a novel identification pattern-based energy fault detector, by leveraging
the customers' normal and faulty line. The target of this paper was to implement a system to
monitor the readings and to find the fault in the power line in real time. Manipulations in readings of
the meter are impossible.
Results: There is a real time monitoring of meters. Readings could be provided to customers on daily,
weekly, monthly or yearly basis. As soon as there occurs a fault, it could be rectified because
detection is on a real time basis and further messages can be sent to the customer about the fault.
Conclusion: A comparison of developed real time monitoring system is done with GSM meters and
analog meters.
Keywords:
Electricity theft, power distribution, fault detection, GDP, profibus/profinet, MFM.
Graphical Abstract
[1]
Q. Sun, H. Li, and Z. Ma, "A comprehensive review of smart energy meters in intelligent energy networks", IEEE Internet Things J., vol. 3, no. 4, 2016.
[2]
P. Joker, N. Arianpoo, and V.C.M. Leung, "Electricity theft detection in AMI using customers’ consumption patterns", IEEE Trans. Smart Grid, vol. 7, no. 1, pp. 216-226, 2015.
[4]
S.I. Gerasopoulos, N.M. Manousakis, D.S. Fragkos-Constanidis, and P.E. Sinioros, "Energy theft problem in power systems: A-state-of-the-art", In: Proc. 11th Int. Conf. on Electric Fuses and their Applications (ICEFA 2019), 2019pp. 1-5
[5]
S.S.S. Reddy Depuru, and V. Devabhaktuni, "Electricity theft: overview, issues, prevention and smart meter based approach to control theft", Science Direct, vol. 39, no. 2, 2011.
[6]
D. Mashima, "Evaluating electricity theft detectors in smart grid networks", Proc. LNCS 7462, pp. 210-229, 2012.
[11]
N. Gupta, and D. Shukla, "Design of embedded based automated meter reading system for real time processing", Conference on Electrical, Electronics and Computer Science, 2016
[12]
S. McLaughlin, D. Podkuiko, and P. McDaniel, "Energy theft in the advanced metering infrastructure", International Conference on Critical Information Infrastructures Security, 2016
[15]
S. Li, Electricity theft detection in power grids with deep learning and random forests., Hindawi J. Electric. Comput. Eng., pp. 1-12, 2019.
[16]
A.R. Adly, "Enhancing the performance of directional relay using a positive-sequence superimposed component", Electr. Eng., pp. 1-19, 2019.