New solutions for development trends in power systems in response to rising concerns with security issues

Cyber-Secure Load Frequency Control for Power Systems delivers an analysis of power systems and their problems with cybersecurity in complex, crowded environments. The book investigates control approaches balancing load demand and generation, encompassing cyber-attack contamination, renewable energy fluctuation, and electric vehicle connection and integration of battery energy systems.

Two perspectives are highlighted as solutions to the growing issues in power systems. The first proposes new defense methods in consideration of attack modeling and the second describes actual behavior of the attacks with new attack models.

Cyber-Secure Load Frequency Control for Power Systems explores sample topics including:

• Security performance of MOSMLFC power systems under historical frequency-triggered DOS attacks
• Fuzzy output sliding mode load frequency control of a power system under motion-trends-based deception attacks
• Reliable AMD event-triggered control of wind power systems under frequency-based deception attacks
• Observer-based sliding mode load frequency control of power systems under deception attacks
• Memory-based event-triggered fault-tolerant load frequency control of multi-area power systems with electric vehicles

Cyber-Secure Load Frequency Control for Power Systems is an excellent advanced resource for graduate-level students and professionals in electrical engineering and control engineering. The book is also valuable for algorithm researchers and engineers in related fields. Prerequisite knowledge includes calculus, linear algebra, and control theory.

Xinghua Liu, PhD, is a Professor with the Xi’an University of Technology, Xi’an, China. He has published several prestigious journal and conference papers in the IEEE.

Siwei Qiao received the Ph.D. degree in electrical engineering from Xi’an University of Technology in 2025, Xi’an, China.

Gaoxi Xiao, PhD, is an Associate Professor at the School of EEE, NTU. Dr. Xiao is a member of the IEEE and the ICST.

Peng Wang, PhD, is a Professor at the School of EEE, NTU. Dr. Wang is a felllow of the IEEE.