- Publication Information
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 with uniform quantizer,” Science Progress, 2025.
In this study, we propose a data-driven control method for load frequency control (LFC) in power systems that does not require a mathematical system model. The proposed approach introduces independent dynamic event-triggering mechanisms in both the input and output channels, significantly reducing communication burdens while ensuring stable frequency regulation.
Moreover, by incorporating an encoding–decoding mechanism, the method effectively compensates for quantization errors and theoretically guarantees asymptotic tracking performance.
Simulation results demonstrate that our approach reduces communication frequency by approximately 84% compared to conventional methods, while maintaining excellent control performance even under load fluctuations. This achievement represents a significant step toward the practical implementation of data-driven control in next-generation smart grids.