Journal of University of Science and Technology of China ›› 2021, Vol. 51 ›› Issue (1): 33-42.DOI: 10.52396/JUST-2020-0033

• Information Science • Previous Articles     Next Articles

Event-triggered sliding mode load frequency control for multi-area interconnected power systems under deception attacks

Liu Xinghua1*, Bai Dandan1, Sun Baoren2, Wen Jiayan3, Lv Wenjun4, Li Kun5   

  1. 1. School of Electrical Engineering, Xi'an University of Technology, Xi'an 710054, China;
    2. Huaneng Chaohu Power Generation Co. LTD, Chaohu 238000, China;
    3. School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545616, China;
    4. School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China;
    5. Institute of Advanced Technology, University of Science and Technology of China, Hefei 230088, China
  • Online:2021-01-31 Published:2021-05-27
  • Contact: *E-mail: liuxh@xaut.edu.cn
  • About author:Liu Xinghua (Corresponding Author) is a professor with the Department of Power Grid Information and Control Engineering, School of Electrical Engineering, Xi'an University of Technology, Xi'an, China. He received the PhD degree in Automation from University of Science and Technology of China, Hefei, in 2014. From 2014 to 2015, he was invited as a visiting fellow at RMIT University in Melbourne. From 2015 to 2018, he was a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research focuses on state estimation and control of power systems, intelligent systems, autonomous vehicles, cyber-physical systems, robotic systems, etc.
    Bai Dandan is a graduate student with the Department of Power Grid Information and Control Engineering, School of Electrical Engineering, Xi'an University of Technology, Xi'an, China. She received the BA. degree in Electrical Engineering and Automation from Yulin University, in 2019. Her research focuses on load frequency control.
    Baoren Sun is currently the chief engineer of the production department of Huaneng Chaohu Power Generation Co. LTD, and is responsible for the operation and maintenance technology management and production technology tackling of the boiler, fuel, ash removal, desulfurization, denitration and other specialties of the power production system.
    Wen Jiayan is currently an associate professor with the College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China. He received the B.S. degree in automation from Guangxi University of Science and Technology, Liuzhou, China, in 2005, the M.S. degree in electrical machinery and apparatus from Hefei University of Technology, Hefei, China, in 2012 and the PhD degree in general mechanics and foundation of mechanics from Peking University, Beijing, China, in 2019. His research interests include multi-agent system, formation control, event-triggered control, autonomous vehicles, and cyber-physical systems.
    Wenjun Lv received the PhD degree in control science and engineering from the University of Science and Technology of China (USTC), Hefei, China, in 2018. He is currently an Associate Research Fellow with the School of Information Science and Technology, USTC. His research interests include robotics, interpretable machine learning and their applications in exploration geophysics.
    Kun Li received the PhD degree in control science and engineering from the University of Science and Technology of China (USTC), Hefei, China, in 2018. He is currently an Associate Research Fellow with Institute of Advanced Technology, USTC. His research interests include nonlinear control theory and its application, robot trajectory and attitude control, artificial intelligence theory and its application in industry.
  • Supported by:
    National Natural Science Foundation of China (61903296, 61903353, U2003110), and in part by the Special Fund for Basic Scientific Research of the Central Universities (WK2100000013).

Abstract: In this paper, the problem of sliding mode load frequency control (LFC) is probed for the multi-area interconnected power system under deception attacks. In the case of deception attacks, a Luenberger observer is designed to generate state estimation of the multi-area power systems. An event-triggered mechanism is introduced to reduce the frequency of controller updates and communication between nodes. Sufficient conditions are proposed to achieve asymptotical stability by utilizing sliding mode control and Lyapunov-Krasovskii (L-K) functional method. Then the sliding mode controller is synthesized to ensure that the trajectory of the closed-loop system can be driven onto the prescribed sliding surface. Finally, the effectiveness of the design scheme is verified by a three-area interconnected power system.

Key words: Load frequency control, deception attacks, sliding mode control, event-triggering mechanism

CLC Number: