The paper “Data-driven dual-channel dynamic event-triggered load frequency control for multi-area power systems under DoS attacks” by Y. Chen, H. Zhao, M. Ogura, Y. Gao, and L. Peng has been accepted for publication in Energy Science & Engineering (Wiley).
This work develops a data-driven dual-channel event-triggered load frequency control framework that maintains system stability even under Denial-of-Service (DoS) attacks. The proposed approach designs the controller directly from input–output data without requiring the system model, and dynamically regulates communication events to reduce network burden. Theoretical analysis and simulations demonstrate that the proposed control scheme achieves stable frequency regulation under cyber-attack scenarios with reduced communication costs.
Citation:
Y. Chen, H. Zhao, M. Ogura, Y. Gao, and L. Peng,
Data-driven dual-channel dynamic event-triggered load frequency control for multi-area power systems under DoS attacks,
Energy Science & Engineering, accepted for publication, 2025.