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Volume 8 Issue 11
Nov.  2021

IEEE/CAA Journal of Automatica Sinica

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X. Zhao, S. L. Zou, and Z. J. Ma, "Decentralized Resilient H∞ Load Frequency Control for Cyber-Physical Power Systems Under DoS Attacks," IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1737-1751, Nov. 2021. doi: 10.1109/JAS.2021.1004162
Citation: X. Zhao, S. L. Zou, and Z. J. Ma, "Decentralized Resilient H Load Frequency Control for Cyber-Physical Power Systems Under DoS Attacks," IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1737-1751, Nov. 2021. doi: 10.1109/JAS.2021.1004162

Decentralized Resilient H Load Frequency Control for Cyber-Physical Power Systems Under DoS Attacks

doi: 10.1109/JAS.2021.1004162
Funds:  This work was supported by the National Natural Science Foundation (NNSF) of China (62003037, 61873303)
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  • This paper designs a decentralized resilient H load frequency control (LFC) scheme for multi-area cyber-physical power systems (CPPSs). Under the network-based control framework, the sampled measurements are transmitted through the communication networks, which may be attacked by energy-limited denial-of-service (DoS) attacks with a characterization of the maximum count of continuous data losses (resilience index). Each area is controlled in a decentralized mode, and the impacts on one area from other areas via their interconnections are regarded as the additional load disturbance of this area. Then, the closed-loop LFC system of each area under DoS attacks is modeled as an aperiodic sampled-data control system with external disturbances. Under this modeling, a decentralized resilient H scheme is presented to design the state-feedback controllers with guaranteed H performance and resilience index based on a novel transmission interval-dependent loop functional method. When given the controllers, the proposed scheme can obtain a less conservative H performance and resilience index that the LFC system can tolerate. The effectiveness of the proposed LFC scheme is evaluated on a one-area CPPS and two three-area CPPSs under DoS attacks.

     

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  • [1]
    X. Yu and Y. Xue, “Smart grids: A cyber-physical systems perspective,” in Proc. IEEE, vol. 104, no. 5, pp. 1058–1070, 2016.
    [2]
    H. Bevrani, Robust Power System Frequency Control. Springer, 2009.
    [3]
    C. Zhang, L. Jiang, Q. H. Wu, Y. He, and M. Wu, “Further results on delay-dependent stability of multi-area load frequency control,” IEEE Trans. Power Systems, vol. 28, no. 4, pp. 4465–4474, 2013. doi: 10.1109/TPWRS.2013.2265104
    [4]
    L. Jin, C. Zhang, Y. He, L. Jiang, and M. Wu, “Delay-dependent stability analysis of multi-area load frequency control with enhanced accuracy and computation efficiency,” IEEE Trans. Power Systems, vol. 34, no. 5, pp. 3687–3696, 2019. doi: 10.1109/TPWRS.2019.2902373
    [5]
    C.-K. Zhang, L. Jiang, Q.-H. Wu, and Y. He, “Delay-dependent robust load frequency control for time delay power systems,” IEEE Trans. Power Systems, vol. 28, no. 3, pp. 2192–2201, 2013. doi: 10.1109/TPWRS.2012.2228281
    [6]
    H. Sun, C. Peng, D. Yue, Y. L. Wang, and T. Zhang, “Resilient load frequency control of cyber-physical power systems under QoS-dependent event-triggered communication,” IEEE Trans. Systems,Man,and Cybernetics:Systems, 2020. DOI: 10.1109/TSMC.2020.2979992
    [7]
    M. R. Khalghani, J. Solanki, S. Solanki, M. H. Khooban, and A. Sargolzaei, “Resilient frequency control design for microgrids under false data injection,” IEEE Trans. Industrial Electronics, vol. 68, no. 3, pp. 2151–2162, 2021.
    [8]
    J. Liu, W. Suo, L. Zha, E. Tian, and X. Xie, “Security distributed state estimation for nonlinear networked systems against DoS attacks,” Int. Journal of Robust and Nonlinear Control, vol. 30, no. 3, pp. 1156–1180, 2020. doi: 10.1002/rnc.4815
    [9]
    J. Liu, Y. Wang, J. Cao, D. Yue, and X. Xie, “Secure adaptive-event-triggered filter design with input constraint and hybrid cyber attack,” IEEE Trans. Cybernetics, 2020. DOI: 10.1109/TCYB.2020.3003752
    [10]
    Youyi Wang, Rujing Zhou, and Long Gao, “H/sub /spl infin// controller design for power system load frequency control,” in Proc. TENCON’93. IEEE Region 10 Int. Conf. Computers, Communications and Automation, vol. 5, pp. 68–71.
    [11]
    M. Azzam, “Robust automatic generation control,” Energy Conversion &Management, vol. 40, no. 13, pp. 1413–1421, 1999.
    [12]
    W. Tan, “Unified tuning of PID load frequency controller for power systems via IMC,” IEEE Trans. Power Systems, vol. 25, no. 1, pp. 341–350, 2010. doi: 10.1109/TPWRS.2009.2036463
    [13]
    X. Su, X. Liu, and Y. Song, “Event-triggered sliding-mode control for multi-area power systems,” IEEE Trans. Industrial Electronics, vol. 64, no. 8, pp. 6732–6741, 2017. doi: 10.1109/TIE.2017.2677357
    [14]
    Y. Mi, X. Hao, Y. Liu, Y. Fu, C. Wang, P. Wang, and P. C. Loh, “Sliding mode load frequency control for multi-area time-delay power system with wind power integration,” IET Generation,Transmission Distribution, vol. 11, no. 18, pp. 4644–4653, 2017. doi: 10.1049/iet-gtd.2017.0600
    [15]
    Y. Zhang, D. Yue, and S. Hu, “Digital PID based load frequency control through open communication networks,” in Proc. 27th Chinese Control and Decision Conf., 2015, pp. 6243–6248.
    [16]
    E. Fridman, “A refined input delay approach to sampled-data control,” Automatica, vol. 46, no. 2, pp. 421–427, 2010. doi: 10.1016/j.automatica.2009.11.017
    [17]
    A. Seuret, “A novel stability analysis of linear systems under asynchronous samplings,” Automatica, vol. 48, no. 1, pp. 177–182, 2012. doi: 10.1016/j.automatica.2011.09.033
    [18]
    H. Zeng, K. Teo, and Y. He, “A new looped-functional for stability analysis of sampled-data systems,” Automatica, vol. 82, pp. 328–331, 2017. doi: 10.1016/j.automatica.2017.04.051
    [19]
    H. Luo, I. A. Hiskens, and Z. Hu, “Stability analysis of load frequency control systems with sampling and transmission delay,” IEEE Trans. Power Systems, vol. 35, no. 5, pp. 3603–3615, 2020. doi: 10.1109/TPWRS.2020.2980883
    [20]
    X. Shangguan, C. K. Zhang, Y. He, L. Jin, L. Jiang, J. Spencer, and M. Wu, “Robust load frequency control for power system considering transmission delay and sampling period,” IEEE Trans. Industrial Informatics, 2020. DOI: 10.1109/TII.2020.3026336
    [21]
    X.-C.Shang-Guang, Y.He, C.-K.Zhang, L.Jiang, and M. Wu, “Sampleddata based discrete and fast load frequency control for power systems with wind power,” Applied Energy, vol. 259, p. 114202, 2019.
    [22]
    P. Chen, Z. Jin, and H. Yan, “Adaptive event-triggering H load frequency control for network-based power systems,” IEEE Trans. Industrial Electronics, vol. 65, no. 2, pp. 1685–1694, 2018. doi: 10.1109/TIE.2017.2726965
    [23]
    F. Pasqualetti, F. Dorfler, and F. Bullo, “Attack detection and identification in cyber-physical systems,” IEEE Trans. Automatic Control, vol. 58, no. 11, pp. 2715–2729, 2013. doi: 10.1109/TAC.2013.2266831
    [24]
    C. Peng and H. Sun, “Switching-like event-triggered control for networked control systems under malicious denial of service attacks,” IEEE Trans. Automatic Control, vol. 65, no. 9, pp. 3943–3949, 2020. doi: 10.1109/TAC.2020.2989773
    [25]
    C. Peng, H. Sun, M. Yang, and Y. Wang, “A survey on security communication and control for smart grids under malicious cyber attacks,” IEEE Trans. Systems,Man,and Cybernetics:Systems, vol. 49, no. 8, pp. 1554–1569, 2019. doi: 10.1109/TSMC.2018.2884952
    [26]
    X. M. Zhang, Q. L. Han, X. Ge, D. Ding, L. Ding, D. Yue, and C. Peng, “Networked control systems: A survey of trends and techniques,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 1–17, 2020. doi: 10.1109/JAS.2019.1911861
    [27]
    M. S. Mahmoud, M. M. Hamdan, and U. A. Baroudi, “Modeling and control of cyber-physical systems subject to cyber attacks: A survey of recent advances and challenges,” Neurocomputing, vol. 338, pp. 101–115, 2019. doi: 10.1016/j.neucom.2019.01.099
    [28]
    B. Niemoczynski, S. Biswas, and J. Kollmer, “Stability of discrete-time networked control systems under denial of service attacks,” in Proc. Resilience Week, 2016, pp. 119–124.
    [29]
    G. K. Befekadu, V. Gupta, and P. J. Antsaklis, “Risk-sensitive control under Markov modulated denial-of-service (DoS) attack strategies,” IEEE Trans. Automatic Control, vol. 60, no. 12, pp. 3299–3304, 2015. doi: 10.1109/TAC.2015.2416926
    [30]
    C. De Persis and P. Tesi, “Input-to-state stabilizing control under denial-of-service,” IEEE Trans. Automatic Control, vol. 60, no. 11, pp. 2930–2944, 2015. doi: 10.1109/TAC.2015.2416924
    [31]
    X. Zhang, Q. Han, X. Ge, and L. Ding, “Resilient control design based on a sampled-data model for a class of networked control systems under denial-of-service attacks,” IEEE Trans. Cybernetics, vol. 50, no. 8, pp. 3616–3626, 2020. doi: 10.1109/TCYB.2019.2956137
    [32]
    X. Shangguan, Y. He, C. K. Zhang, L. Jin, L. Jiang, M. Wu, and J. Spencer, “Switching system-based load frequency control for multiarea power system resilient to denial-of-service attacks,” Control Engineering Practice, vol. 107, p. 104678, 2021.
    [33]
    C. Peng, J. Li, and M. Fei, “Resilient event-triggering H load frequency control for multi-area power systems with energy-limited DoS attacks,” IEEE Trans. Power Systems, vol. 32, no. 5, pp. 4110–4118, 2017. doi: 10.1109/TPWRS.2016.2634122
    [34]
    E. Tian and C. Peng, “Memory-based event-triggering H load frequency control for power systems under deception attacks,” IEEE Trans. Cybernetics, vol. 50, no. 11, pp. 4610–4618, 2020. doi: 10.1109/TCYB.2020.2972384
    [35]
    J. Liu, Y. Gu, L. Zha, Y. Liu, and J. Cao, “Event-triggered H load frequency control for multiarea power systems under hybrid cyber attacks,” IEEE Trans. Systems,Man,and Cybernetics:Systems, vol. 49, no. 8, pp. 1665–1678, 2019. doi: 10.1109/TSMC.2019.2895060
    [36]
    J. Nanda, A. Mangla, and S. Suri, “Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers,” IEEE Trans. Energy Conversion, vol. 21, no. 1, pp. 187–194, 2006. doi: 10.1109/TEC.2005.853757
    [37]
    D. Rerkpreedapong, A. Hasanovic, and A. Feliachi, “Robust load frequency control using genetic algorithms and linear matrix inequalities,” IEEE Trans. Power Systems, vol. 18, no. 2, pp. 855–861, 2003. doi: 10.1109/TPWRS.2003.811005
    [38]
    J. Zhang, C. Peng, S. Masroor, H. Sun, and L. Chai, “Stability analysis of networked control systems with denial-of-service attacks,” in Proc. UKACC 11th Int. Conf. Control, 2016, pp. 1–6.
    [39]
    X. M. Zhang and Q. L. Han, “Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach,” Neural Networks, vol. 54, pp. 57–69, 2014. doi: 10.1016/j.neunet.2014.02.012

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    Highlights

    • In the presence of DoS attacks, the closed-loop LFC model of each area is modeled as an aperiodic sampled-data system with external disturbances
    • A transmission interval-dependent looped functional is proposed to obtain new BRL and controller design method against the modeled system above
    • A decentralized resilient H∞ LFC scheme is presented in this paper. By regulating the parameters on H∞ performance index or the maximum count of continuous data losses, the designed controller can maintain the stability of system frequency with guaranteed H∞ performance and enhanced resilience to DoS attacks

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