A review of electricity theft detection technology

Di Xu; Ming Cui; Fei Wei; Lin Li; Wenchao Wei

doi:10.1117/12.3050710

12 December 2024 A review of electricity theft detection technology

Di Xu, Ming Cui, Fei Wei, Lin Li, Wenchao Wei

Author Affiliations +

Proceedings Volume 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024); 134191W (2024) https://doi.org/10.1117/12.3050710
Event: Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 2024, Lhasa, China

Abstract

Electricity theft not only leads to economic losses but also poses potential risks to the stability and security of the power system, constituting a significant challenge within the electricity domain. With the construction of smart grids and the maturation of advanced metering infrastructure (AMI), numerous novel techniques for detecting electricity theft have been proposed, greatly enhancing the capability to detect and combat such illicit activities, thus fostering more efficient and intelligent management of power systems. This paper aims to provide an overview of the recent advancements in electricity theft detection methods, summarizing prevalent techniques employed in detecting electricity theft in power systems, including those based on grid state analysis, machine learning, game theory, and hardware-based approaches. For each method, an analysis of its principles and merits is conducted. Finally, this paper delves into an in-depth analysis of the challenges confronting the field of electricity theft detection at present and offers prospects for future research endeavors.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Di Xu, Ming Cui, Fei Wei, Lin Li, and Wenchao Wei "A review of electricity theft detection technology", Proc. SPIE 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 134191W (12 December 2024); https://doi.org/10.1117/12.3050710

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