Decentralized Resilient <i>H</i><sub>∞</sub> Load Frequency Control for Cyber-Physical Power Systems Under DoS Attacks

Xin Zhao; Suli Zou; Zhongjing Ma

doi:10.1109/JAS.2021.1004162

Volume 8 Issue 11

Nov. 2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2021 > 8(11): 1737-1751

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

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

doi: 10.1109/JAS.2021.1004162

Xin Zhao^1
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Suli Zou^1
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Zhongjing Ma^{1
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School of Automation, Beijing Institute of Technology, Beijing 100081, China

Funds: This work was supported by the National Natural Science Foundation (NNSF) of China (62003037, 61873303)

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Author Bio:
Xin Zhao received the M.S. degrees from Qingdao University in 2019. He is now pursuing the Ph.D. degree in control science and engineering at Beijing Institute of Technology. His current research interests focus on cyber-physical systems, game theory, and power systems

Suli Zou (M’17) received the B.S. degree in electrical engineering in 2011, and the Ph.D. degree in control theory and control engineering in 2017, both at the Beijing Institute of Technology. In 2017, she joined the Automatic Control Laboratory of ETH Zurich as a postdoctoral researcher. From September 2019, she joined the School of Automation of Beijing Institute of Technology serving at an Associate Professor position. Her main research interests lie in distributed optimization, stochastic optimization, game theory and related mechanisms design, with particular applications to smart power systems. Currently, she is more interested in game-based analyses in cyber-physical systems, learning-based algorithms, and optimization in power systems with high penetration of renewables

Zhongjing Ma (SM’16) received the B.Eng. degree from Nankai University, the M.Eng. and the Ph.D. degrees from McGill University, Canada. After a period as a postdoctoral research fellow with the University of Michigan, Ann Arbor, he joined Beijing Institute of Technology as an Associate Professor. He has given several courses, including Control Theory I (in English), Power System Analysis (in English), Optimal & Robust Control (in English), and Control & Optimization of Power Systems. His research interests lie in the areas of optimal control, stochastic systems, and applications in the power systems. He has published 2 monograph and 1 textbook in Springer, and 70+ articles in IEEE Trans. on Automatic Control, Automatica, IEEE Trans. on Control Systems Technology, and IEEE CDC, etc
Corresponding author: Zhongjing Ma, e-mail: mazhongjing@bit.edu.cn
Received Date: 2020-10-12
Revised Date: 2020-12-21
Accepted Date: 2021-02-27

Available Online: 2021-03-22

Abstract

Abstract

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.
- Cyber-physical power systems (CPPSs),
- denial-of-service (DoS) attacks,
- load frequency control (LFC),
- sampled-data control

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References(39)

References

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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

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

doi: 10.1109/JAS.2021.1004162

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