A game-theoretic approach for PMU deployment against false data injection attacks
File(s)
Accepted version
Author(s)
Maleki, Sajjad
Lakshminarayana, Subhash
Belmega, E Veronica
Maple, Carsten
Type
Conference Paper
Abstract
Phasor Measurement Units (PMUs) are used in the measurement, control and protection of power grids. However, deploying PMUs at every bus in a power system is prohibitively expensive, necessitating their optimal placement to ensure system observability with minimum cost. This partial PMU placement renders the system vulnerable to False Data Injection Attacks (FDIAs). This paper proposes a zero-sum game-based approach to strategically place an additional PMU (after the initial optimal PMU deployment for full observability) to bolster robustness against FDIAs by introducing redundancy in attack-susceptible areas. To compute the Nash equilibrium (NE) solution, we leverage a reinforcement learning algorithm that mitigates the need for complete knowledge of the opponent’s actions. The proposed PMU deployment algorithm increases the detection rate of FDIA by 36% compared to benchmark approaches.
Date Issued
2024-11-04
Date Acceptance
2024-09-01
Citation
2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2024, pp.321-326
ISBN
979-8-3503-1855-5
Publisher
IEEE
Start Page
321
End Page
326
Journal / Book Title
2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Copyright Statement
Copyright © 2024, IEEE. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Source
2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Publication Status
Published
Start Date
2024-09-17
Finish Date
2024-09-20
Coverage Spatial
Oslo, Norway