Data-driven dual-channel event-triggered load frequency control for interconnected multi-area power systems with quantized inputs and outputs
Authors: Ma, L., Zhao, H., Chen, Y., Xie, L., Yu, H.
Journal: Nonlinear Dynamics
Publication Date: 01/04/2026
Volume: 114
Issue: 7
eISSN: 1573-269X
ISSN: 0924-090X
DOI: 10.1007/s11071-026-12333-x
Abstract:System dynamics uncertainties and constraint communication channels pose significant challenges to load frequency control in power systems. This article investigates a data-driven dual-channel event-triggered load-frequency control strategy for interconnected multi-area power systems with quantized input and output data. Firstly, an enhanced model-free adaptive control framework is established by incorporating proportional, differential, and quadratic difference terms to improve the control performance. Moreover, semi-independent event-triggering mechanisms are designed for both the input and output channels to optimize resource utilization. Furthermore, a rigorous theoretical analysis is given. It demonstrates that the designed control scheme ensures the tracking error converges to a bound that is dependent on the quantization density. Finally, extensive simulation results further validate the effectiveness of the proposed method.
Source: Scopus