Resilient Structural Sparsity in the Design of Consensus Networks

Díaz-García, Gilberto; Narváez, Gabriel; Giraldo, Luis Felipe; Giraldo, Jairo; Cárdenas, Álvaro A.

doi:10.1109/tcyb.2021.3126576

Cited by 2 publications

(1 citation statement)

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“…Similarly, authors in [11] utilize input and state estimators to detect and compensate the effects of cyber attacks in sensor measurements intended for the computation of the automatic generation control (AGC) setpoints. Diaz-Garcia et al, [12] propose a methodology to redesign the communication network of distributed control in the power grid in order to reduce the impact caused by false-data injection attacks. Authors in [13] introduce a decentralized moving-target defense methodology that is able to reduce the impact of cyber attacks by replicating relevant signals and selecting them randomly.…”

Section: Introductionmentioning

confidence: 99%

Cyber-Resilient Frequency Control of Power Grids with Energy Storage Systems

Giraldo¹,

Parvania²

2022

Preprint

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The integration of synchronous generators and energy storage systems operated through communication networks introduces new challenges and vulnerabilities to the electric grid, where cyber attacks can corrupt sensor measurements or control inputs and interrupt functions such as frequency regulation. This paper proposes a defense methodology for the design of resilient operating constraints imposed on each generation and storage unit in order to prevent any attack sequence from driving the system's frequency to unsafe conditions. The resilient operating constraints are found by using ellipsoidal approximations of the reachable set of the power system, leading to a convex optimization problem with linear matrix inequalities. Numerical results in a single-area power system with synchronous generation and energy storage demonstrate how the resilient constraints provide security guarantees against any type of attack affecting frequency measurements or controller setpoints.

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Section: Introductionmentioning

confidence: 99%