Linearized Attack Vector Formulation against AC State Estimator

Khare, Gaurav; Mohapatra, Abheejeet; Singh, S. N.

doi:10.1109/isgteurope.2019.8905700

Cited by 5 publications

(8 citation statements)

References 9 publications

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“…Therefore, we adopted the attack model from ref. [27], and it is briefly explained below. If 𝚿 is an attack vector, it is defined as…”

Section: Fdia Model For Ac State Estimatormentioning

confidence: 99%

“…Therefore, in ref. [27], Equation ( 6) is linearised around the last converged AC SE solution to obtain…”

Section: Fdia Model For Ac State Estimatormentioning

confidence: 99%

“…A strategy to acquire the maximum attack yield while launching an FDIA was briefly explored in ref. [27], but it was applicable under a particular condition in which an attacker is intended to influence only a single system state. Section 4.1 proposes a generalised version that can be used to obtain the maximum attack yield while launching an FDIA against a single or multiple system states.…”

Section: State Vulnerability Assessmentmentioning

confidence: 99%

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State vulnerability assessment against false data injection attacks in AC state estimators

Khare¹,

Mohapatra

Singh

2022

Energy Conversion and Econom

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The transformation of the conventional power grid into a smart grid has revolutionised the power industry. However, this has also made the power grid vulnerable to various cyberattacks. This study evaluates the vulnerability of system states, which act as crucial inputs to other essential grid monitoring and control functions, against credible false data injection attacks on nonlinear AC state estimators. Accordingly, two approaches are proposed. The first maximises the yield of the attack, and the second reduces the number of physical meters to be manipulated to launch an attack. This study also develops an attack feasibility index, which can assist in quantifying the feasibility of an false data injection attack while considering various characteristics of a cyberattack. The attack feasibility index also aids in simultaneously comparing the effects of both approaches and assessing the vulnerability of the estimated states. The effectiveness of the proposed methods and the index are established by calculating the state vulnerability of the IEEE 39 bus and IEEE 118 bus test systems.

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“…Therefore, we adopted the attack model from ref. [27], and it is briefly explained below. If 𝚿 is an attack vector, it is defined as…”

Section: Fdia Model For Ac State Estimatormentioning

confidence: 99%

“…Therefore, in ref. [27], Equation ( 6) is linearised around the last converged AC SE solution to obtain…”

Section: Fdia Model For Ac State Estimatormentioning

confidence: 99%

Section: State Vulnerability Assessmentmentioning

confidence: 99%

See 1 more Smart Citation

State vulnerability assessment against false data injection attacks in AC state estimators

Khare¹,

Mohapatra

Singh

2022

Energy Conversion and Econom

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, due to the nonlinear nature of (3), the attack vector formulation can be time‐expensive process, and hence in this work, a linearised version [34] of (3), as defined below by (5), is used:

\begin{matrix} true \\ right boldΨ & left \approx boldH ({boldX}^{true} + {boldX}^{boldΨ}) - boldH X^{true} \\ right & left \approx boldH X^{true} + boldH X^{Ψ} - boldH X^{true} \approx boldH X^{Ψ} \end{matrix}

…”

Section: Cyber Vulnerability Of Gridmentioning

confidence: 99%

“…However, due to the nonlinear nature of (3), the attack vector formulation can be time-expensive process, and hence in this work, a linearised version [34] of (3), as defined below by (5), is used:…”

Section: Cyber Vulnerability Of Gridmentioning

confidence: 99%

Strategic PMU placement to alleviate power system vulnerability against cyber attacks

Khare

Mohapatra

Singh

2021

Energy Conversion and Econom

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A strategic phasor measurement unit (PMU) placement scheme is proposed in this work to reduce the cyber vulnerability of the power system against cyber attacks. A multi-stage PMU placement strategy is developed to alleviate the power system vulnerability against the possible false data injection attacks using the forward dynamic programming to distribute the capital cost of PMUs over a time horizon. An index is also proposed to quantify the vulnerability of the nodes of a grid against false data injection attacks. This index is useful in selecting the optimal set of candidate buses for PMUs placement and prioritising the candidate buses for PMUs placement in a specific deployment stage. The proposed scheme will also ensure the critical observability of the grid in its first stage and increment in observability levels in subsequent stages. Simulation results are provided for IEEE 14bus, IEEE 39-bus, and IEEE 118-bus test systems, considering the impact of zero injection bBuses (ZIBs) on optimisation process, to justify the effectiveness of the proposed index and PMUs placement approach.

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Blockchain-based cyber-security enhancement of cyber–physical power system through symmetric encryption mechanism

Shukla,

Chakrabarti,

Sharma

2024

International Journal of Electrical Power & Energy Systems

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Linearized Attack Vector Formulation against AC State Estimator

Cited by 5 publications

References 9 publications

State vulnerability assessment against false data injection attacks in AC state estimators

State vulnerability assessment against false data injection attacks in AC state estimators

Strategic PMU placement to alleviate power system vulnerability against cyber attacks

Blockchain-based cyber-security enhancement of cyber–physical power system through symmetric encryption mechanism

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