Detection Scheme Against Cyber-Physical Attacks on Load Frequency Control Based on Dynamic Characteristics Analysis

Bi, Wenjun; Zhang, Kaifeng; Li, Yaping; Yuan, Kun; Wang, Ying

doi:10.1109/jsyst.2019.2911869

Cited by 37 publications

(19 citation statements)

References 33 publications

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“…Resonance attack [42] strategy is appropriate to non‐linear system models, while the present one and remaining strategies focus on the LTI (linear time‐invariant) model. The significant difference between different attack points is calculated by the third column, in which false data injection attack (FDIA) [40] and CP attack [41] strategies are employed to manipulate the C

_{out}

. The present one and remaining strategies are employed to manipulate the C

_{in}

.…”

Section: Simulation and Results Analysismentioning

confidence: 99%

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Hossain

Chen

2020

IET gener. transm. distrib.

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In this study, a novel H ∞ predictive event-triggered load frequency control has been developed for a hybrid power system with renewable energy sources (RESs) to deal with denial-of-service (DoS) attacks, where the DoS duration (the time attack lasts) are boundless. A predictive event-triggered transmission scheme is built for the multi-area hybrid power systems under DoS attacks to reduce the load of network bandwidth while maintaining adequate levels of performance. Therefore, an observer-based predictive controller is developed in the presence of both external disturbances and DoS attacks by formulating the LFC problem as a disturbance attenuation issue. In the proposed method, a hybrid power system with RESs is used to achieve novel and better security strategies. Based on the new model, sufficient conditions are obtained using the Lyapunov stability theory to ensure a stable multi-area hybrid power system with a prescribed H ∞ performance. Moreover, an algorithm is provided to obtain the control strategy of DoS attacks. Finally, the simulation of a hybrid power system with RESs is presented to demonstrate the effectiveness of the proposed method in dealing with the DoS attacks. M positive integer N upper bound of the total networked delay Φ symmetric positive definite weighting matrix k s i successful transmitted time of control data packet k s i + m virtual triggering time in controller

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_{out}

. The present one and remaining strategies are employed to manipulate the C

_{in}

.…”

Section: Simulation and Results Analysismentioning

confidence: 99%

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Hossain

Chen

2020

IET gener. transm. distrib.

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“…False data injection detection can be analyzed under reachability framework where the attacker acquires access to the states of the power system [50]. The scaling and unknown disturbance attack can also be detected using support vector machine concepts [51] and multi-layer perceptron classifier-based approach [52].…”

Section: False Data Injection Preventionmentioning

confidence: 99%

Cybersecurity Analysis of Load Frequency Control in Power Systems: A Survey

Saxena

Bhatia

Gupta

2021

Designs

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Today, power systems have transformed considerably and taken a new shape of geographically distributed systems from the locally centralized systems thereby leading to a new infrastructure in the framework of networked control cyber-physical system (CPS). Among the different important operations to be performed for smooth generation, transmission, and distribution of power, maintaining the scheduled frequency, against any perturbations, is an important one. The load frequency control (LFC) operation actually governs this frequency regulation activity after the primary control. Due to CPS nature, the LFC operation is vulnerable to attacks, both from physical and cyber standpoints. The cyber-attack strategies ranges from a variety of attacks such as jamming the network communication, time-delay attack, and false data injection. Motivated by these perspectives, this paper studies the cybersecurity issues of the power systems during the LFC operation, and a survey is conducted on the security analysis of LFC. Various cyber-attack strategies, their mathematical models, and vulnerability assessments are performed to understand the possible threats and sources causing failure of frequency regulation. The LFC operation of two-area power systems is considered as a tutorial example to quantify the vulnerabilities. Mitigation strategies through control theoretic approaches are then reviewed and highlighted for LFC operation under cyber-attack.

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“…In [15], a multi-layer perception classifier based method is introduced to extract the features of ACE signals, thus distinguishing compromised signals from normal ones. In [16], a support vector domain description based method is proposed to extract the features of normal LFC signals and then detect the FDIAs. In [17], the forecasted ACE data are utilized for the detection of FDIAs.…”

Section: Introductionmentioning

confidence: 99%

Detection and Estimation of False Data Injection Attacks for Load Frequency Control Systems

2022

Journal of Modern Power Systems and Clean Energy

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False data injection attacks (FDIAs) against the load frequency control (LFC) system can lead to unstable operation of power systems. In this paper, the problems of detecting and estimating the FDIAs for the LFC system in the presence of external disturbances are investigated. First, the LFC system model with FDIAs against frequency and tie-line power measurements is established. Then, a design procedure for the unknown input observer (UIO) is presented and the residual signal is generated to detect the FDIAs. The UIO is designed to decouple the effect of the unknown external disturbance on the residual signal. After that, an attack estimation method based on a robust adaptive observer (RAO) is proposed to estimate the state and the FDIAs simultaneously. In order to improve the performance of attack estimation, the H ¥ technique is employed to minimize the effect of external disturbance on estimation errors, and the uniform boundedness of the state and attack estimation errors is proven using Lyapunov stability theory. Finally, a two-area interconnected power system is simulated to demonstrate the effectiveness of the proposed attack detection and estimation algorithms.

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Detection Scheme Against Cyber-Physical Attacks on Load Frequency Control Based on Dynamic Characteristics Analysis

Cited by 37 publications

References 33 publications

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Cybersecurity Analysis of Load Frequency Control in Power Systems: A Survey

Detection and Estimation of False Data Injection Attacks for Load Frequency Control Systems

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Detection Scheme Against Cyber-Physical Attacks on Load Frequency Control Based on Dynamic Characteristics Analysis

Cited by 37 publications

References 33 publications

Predictive event‐triggered H ∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Predictive event‐triggered H ∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Cybersecurity Analysis of Load Frequency Control in Power Systems: A Survey

Detection and Estimation of False Data Injection Attacks for Load Frequency Control Systems

Contact Info

Product

Resources

About

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks