Event-Triggered Frequency Security Control for Power System

Erscheinungsjahr 2027
ISBN: 978-981-9265-15-2
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Intelligent Control and Learning Systems

This monograph rethinks grid control systems from first principles, placing resilience and security at the core. Written for researchers and practitioners in power systems and cybersecurity, it addresses a critical question: how can we design controls that are both efficient and inherently secure?

The answer lies in event-triggered control (ETC). Unlike traditional periodic communication, ETC uses demand-driven, aperiodic data exchanges. This simple shift delivers two powerful benefits at once. First, it reduces communication load, shrinking the cyber attack surface. Second, it creates a “moving target” defense by obscuring control traffic patterns, making it significantly harder for adversaries to detect, model, or exploit the system. You will learn how to move beyond conventional periodic control and build next-generation secure grid architectures without sacrificing operational performance. Basic knowledge of dynamic systems is helpful, but the book is accessible to motivated readers with an interest in control and security.

Zielgruppe

Research

Autoren/Hrsg.

Yang, Jin

Liang, Hongjing

Chen, Kai

Cheng, Yuhua

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

Foundations and Frameworks (Chapter 1).- Part II: Advanced Event-Triggered Control Strategies (Chapters 2–4).- Chapter 2 (Non-fragile adaptive event-triggered LFC).- Chapter 3 (Stochastic event-triggered fault-tolerant LFC).- Chapter 4 (Decentralized periodic event-triggered LFC).- Part III: Secure Control Under Cyber Threats (Chapters 5–7).- Chapter 5 (Dynamic event-triggered LFC under DoS attacks).- Chapter 6 (Dynamic memory event-triggered LFC against hybrid attacks).- Chapter 7 (DoS attack detection and data compensation in event-triggered LFC).- Part IV: Conclusion and Perspectives (Chapter 8).

Über Autor(innen)

Jin Yang received B.S. degree in Physics from Southwest Minzu University in 2020 and the Ph.D. degree in Control Science and Engineering from University of Electronic Science and Technology of China in 2024. From March 2023 to March 2024, he was a Visiting Scholar with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He is currently an associate professor with the School of Automation Engineering, University of Electronic Science and Technology of China. His current research interests include networked control systems, multiagent systems, power systems, security control, robust control and sampled-data control.

Hongjing Liang received the B.S. degree in mathematics from Bohai University, Jinzhou, China, in 2009, and the M.S. degree in fundamental mathematics and the Ph.D. degree in control theory and control engineering from Northeastern University, Shenyang, China, in 2011 and 2016, respectively.,He was a Temporary Research Associate with the Science Program, Texas A&M University, Doha, Qatar. He is currently a Professor with the University of Electronic Science and Technology of China, Chengdu, China. His current research interests include adaptive control, fuzzy control, and cooperative control and their applications.,Dr. Liang was a recipient of the Outstanding Reviewer Award from IEEE/CAA Journal of Automatica Sinica in 2019. He has been on the editorial board of International Journal of Fuzzy Systems and Fluctuation and Noise Letters.

Kai Chen received the B.S., M.S., and Ph.D. degrees from the University of Electronic Science and Technology of China, Chengdu, China, in 2008, 2011, and 2015, respectively. He is currently a Professor and the Dean of the School of Automation Engineering at UESTC. His research interests include renewable energy and precision measurement. He has published over 40 high-impact journal papers, been granted more than 30 authorized invention patents (including three U.S. patents), and authored two academic monographs.

Yuhua Cheng received the Ph.D. degree in test measurement technology and instruments from Sichuan University, Chengdu, China, in 2007. He is currently a Professor with the School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, where he also serves as the Vice President. His research interests include electronic test instruments, nondestructive testing, intelligent prognostics, and health management of complex systems. Prof. Cheng received the IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Overall Best Paper Award in 2015. He has also served as a session chair for five international academic conferences over the years.