EnThM: Energy Theft Mitigation in Smart Grids using Hierarchical Verification of Metering Data
It addresses the problem of electricity theft for smart grid operators, but the approach is incremental, combining statistical modeling and rule-based checks.
EnThM proposes a lightweight, hierarchical verification scheme for real-time energy theft detection in smart grids, achieving high accuracy on benchmark data.
The advent of digital technologies has revolutionized traditional power distribution networks, transforming them into smart grids that are more reliable, efficient, and sustainable. Despite these advancements, electricity theft remains a significant threat to the effective operation of large electrical networks. To address this issue, we propose EnThM, a lightweight and communication-efficient scheme for real-time mitigation of power theft in smart grid systems. Our approach uses the hierarchical structure of the smart grid infrastructure to verify the authenticity of the metering data at multiple levels of the power distribution network. Our work focuses primarily on issues related to cryptographic security. The verification process involves statistically modeling the cumulative averages of the power usage data and applying rule-based checks on the aggregated power consumption at each level, while accounting for seasonal and daily consumption variations. The proposed method has been tested on benchmark consumption data, yielding high accuracy, efficient implementation, and real-time applicability.