Global Academy of Technology
Rajarajeshwari Nagar,Bengaluru-560098
Department of Electrical and Electronics
Engineering
Seminar Presentation
On
Electricity Theft Detection and Technical Solutions
PRESENTED BY: Under The Guidance of:
MANOJ A 1GA20EE025 Dr. JAYACHITRA G
Associate Professor, Dept. of EEE, GAT
ABSTRACT
With the electric industry undergoing change, increased attention is being focused on power
supply reliability and power quality. Power providers and users alike are concerned about
reliable power, whether the focus is on interruptions and disturbances or extended outages.
Monitoring can provide information about power flow and demand and help to identify the
cause of power system disturbances.
The power consumed by the user is measured and communicated to the controlling substation
whenever needed by the person at the substation. The feedback from the user helps in
identifying usages between authorized and unauthorized users which helps in controlling the
power theft, one of the major challenges in current scenarios. Communication between
user/household and substation can be of wired and wireless.
Non-technical loss (NTL) during transmission of electrical energy is a major problem in
developing countries and it has been very difficult for the utility companies to detect and
fight the people responsible for theft. Electricity theft forms a major chunk of NTL. These
losses affect quality of supply, increase load on the generating station, and affect tariff
imposed on genuine customers.
We discusses in detail the steps undergone in realizing the work including the design
calculations, implementation and testing.
REFERENCES
[1] Mohamed I. Ibrahem , Abdullah Saad AL, Senior Member, IEEE, Fawaz Alsolami , Member, IEEE, Waleed
Alasmary , Senior Member, IEEE, “Electricity-Theft Detection for Change-and-Transmit Advanced Metering
Infrastructure” IEEE internet of things journal, vol. 9, no. 24, 15 december 2022
[2] M. M. Badr, M. I. Ibrahem, M. Mahmoud, M. M. Fouda, F. Alsolami, and W. Alasmary, “Detection of false-
reading attacks in smart grid netmetering system,” IEEE Internet Things J., vol. 9, no. 2, pp. 1386–1401, Jan. 2022,
[3] M. I. Ibrahem, M. M. Badr, M. M. Fouda, M. Mahmoud, W. Alasmary, and Z. M. Fadlullah, “PMBFE: Efficient
and privacy-preserving monitoring and billing using functional encryption for AMI networks,” in Proc. IEEE Int.
Symp. Netw. Comput. Commun. (ISNCC), Montreal, QC, Canada, Oct. 2020
[4] M. I. Ibrahem, M. Mahmoud, M. M. Fouda, F. Alsolami, W. Alasmary, and X. Shen, “Privacy preserving and
efficient data collection scheme for AMI networks using deep learning,” IEEE Internet Things J., vol. 8, no. 23, pp.
17131–17146, Dec. 2021.
THANK YOU
