Detection‐based weighted LFC for multi‐area power systems under DoS attacks

This study is concerned with resilient load frequency control (LFC) scheme design of multi-area power systems with communication delay and aperiodic denial-of-service (DoS) attacks. First, to identify DoS attacks, a detection mechanism in the actuator side is proposed which is a time counter measuring the input delay. The identified DoS attacks are constrained by its upper bound of frequency and duration. When DoS attacks are identified, actuator switches to zero-input strategy from hold-input strategy. According to the switching control inputs, switched time delay system model is established to describe the attack influence on LFC system. Further, a criterion of preserving weighted performance is derived by combining piecewise Lyapunov–Krasovskii functional method with switched system method. Based on the criterion, the resilient control gain is designed by solving a set of LMIs. Finally, numerical simulations are given to verify the validness of the attack detection based resilient LFC scheme.

[1]  Dong Yue,et al.  Model-Based Event-Triggered Predictive Control for Networked Systems with Data Dropout , 2016, SIAM J. Control. Optim..

[2]  Goshaidas Ray,et al.  H∞ load frequency control of interconnected power systems with communication delays , 2012 .

[3]  Zhigang Zeng,et al.  Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays , 2016, IEEE Transactions on Industrial Electronics.

[4]  Ehab F. El-Saadany,et al.  Attack Detection for Load Frequency Control Systems Using Stochastic Unknown Input Estimators , 2018, IEEE Transactions on Information Forensics and Security.

[5]  Dong Yue,et al.  Network-based robust H ∞ control of systemswith uncertainty , 2005 .

[6]  J. Wen,et al.  Delay-dependent stability for load frequency control with constant and time-varying delays , 2009, 2009 IEEE Power & Energy Society General Meeting.

[7]  Chen-Ching Liu,et al.  Cyber security of a power grid: State-of-the-art , 2018, International Journal of Electrical Power & Energy Systems.

[8]  Zhao Yang Dong,et al.  The 2015 Ukraine Blackout: Implications for False Data Injection Attacks , 2017, IEEE Transactions on Power Systems.

[9]  Arman Sargolzaei,et al.  Preventing Time-Delay Switch Attack on Load Frequency Control in Distributed Power Systems , 2016, IEEE Transactions on Smart Grid.

[10]  Zhuo Lu,et al.  Cyber security in the Smart Grid: Survey and challenges , 2013, Comput. Networks.

[11]  Jing He,et al.  Auxiliary-function-based double integral inequality approach to stability analysis of load frequency control systems with interval time-varying delay , 2017 .

[12]  Fuad E. Alsaadi,et al.  Recent advances on filtering and control for cyber-physical systems under security and resource constraints , 2016, J. Frankl. Inst..

[13]  Minrui Fei,et al.  Resilient Event-Triggering $H_{\infty }$ Load Frequency Control for Multi-Area Power Systems With Energy-Limited DoS Attacks , 2017, IEEE Transactions on Power Systems.

[14]  Kalyan Chatterjee,et al.  A comprehensive state of the art literature survey on LFC mechanism for power system , 2017 .

[15]  Zidong Wang,et al.  Event-based security control for discrete-time stochastic systems , 2016 .

[16]  Xiaorong Xie,et al.  WAMS applications in Chinese power systems , 2006 .

[17]  Peter Xiaoping Liu,et al.  Stability analysis and compensation of network-induced delays in communication-based power system control: A survey. , 2017, ISA transactions.

[18]  Qing-Long Han,et al.  An improved reciprocally convex inequality and an augmented Lyapunov-Krasovskii functional for stability of linear systems with time-varying delay , 2017, Autom..

[19]  Deepa Kundur,et al.  A Framework for Modeling Cyber-Physical Switching Attacks in Smart Grid , 2013, IEEE Transactions on Emerging Topics in Computing.

[20]  Sonia Martínez,et al.  On Triggering Control of Single-Input Linear Systems Under Pulse-Width Modulated DoS Signals , 2016, SIAM J. Control. Optim..

[21]  L. E. Landoll Summary of the "guide for AC Generator Protection" ANSI/IEEE C37.102-1987 , 1989, IEEE Power Engineering Review.

[22]  Richard R. Brooks,et al.  Denial of Service Attack on Tie-Line Bias Control in a Power System With PV Plant , 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

[23]  Pietro Tesi,et al.  Input-to-State Stabilizing Control Under Denial-of-Service , 2015, IEEE Transactions on Automatic Control.

[24]  Saeid Nahavandi,et al.  Reduced-order functional observers with application to partial state estimation of linear systems with input-delays , 2015 .

[25]  Chao Yang,et al.  DoS attack in centralised sensor network against state estimation , 2018, IET Control Theory & Applications.

[26]  Nand Kishor,et al.  A literature survey on load–frequency control for conventional and distribution generation power systems , 2013 .

[27]  F. Gouaisbaut,et al.  Overview of recent advances in stability of linear systems with time‐varying delays , 2019, IET Control Theory & Applications.

[28]  Haibo He,et al.  Cyber-physical attacks and defences in the smart grid: a survey , 2016, IET Cyper-Phys. Syst.: Theory & Appl..

[29]  Mehmet Necip Kurt,et al.  Distributed Quickest Detection of Cyber-Attacks in Smart Grid , 2018, IEEE Transactions on Information Forensics and Security.

[30]  Jing Sun,et al.  Testing and Defending Methods Against DOS Attack in State Estimation , 2017 .