A Bi-Level Stochastic Game Model for PMU Placement in Power Grid with Cybersecurity Risks
Saptarshi Ghosh, Murali Sankar Venkatraman, Shehab Ahmed, Charalambos, Konstantinou

TL;DR
This paper introduces a bi-level stochastic game model for optimal PMU placement in power grids, balancing cost, observability, and cybersecurity risks, demonstrated on the IEEE-9 bus system.
Contribution
It presents a novel bi-level stochastic game approach for PMU placement that accounts for cyber-attack risks, optimizing deployment cost and network security.
Findings
9% reduction in deployment cost considering cyber-risks
Effective protection of PMUs against cyber-attacks demonstrated
Enhanced network observability with minimized PMU deployment
Abstract
Phasor measurement units (PMUs) provide accurate and high-fidelity measurements in order to monitor the state of the power grid and support various control and planning tasks. However, PMUs have a high installation cost prohibiting their massive deployment. Minimizing the number of installed PMUs needs to be achieved while also maintaining full observability of the network. At the same time, data integrity attacks on PMU measurements can cause mislead power system control and operation routines. In this paper, a bi-level stochastic non-cooperative game-based placement model is proposed for PMU allocation in the presence of cyber-attack risks. In the first level, the protection of individual PMU placed in a network is addressed, while considering the interaction between the grid operator and the attacker with respective resource constraints. In the second level, the attacker observes the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPower System Optimization and Stability · Smart Grid Security and Resilience · Optimal Power Flow Distribution
MethodsTest
