Data-driven dual-channel dynamic event-triggered load frequency control for multiarea power systems with uniform quantizer

Accurate and efficient load frequency control in interconnected multiarea power systems is becoming increasingly challenging due to data quantization effects and communication resource limitations. To overcome these limitations, this paper proposes a dual-channel dynamic event-triggered, data-driven load frequency control strategy based on model-free adaptive control. The controller integrates proportional, differential, and quadratic difference terms to enhance tracking accuracy, while independently designed event-triggering mechanisms for both input and output channels significantly reduce communication and computational burdens. Furthermore, a novel encoding-decoding scheme is designed to mitigate data quantization. Rigorous theoretical analysis confirms that the proposed scheme relies solely on input-output data and ensures asymptotic tracking performance. Extensive simulation results validate the effectiveness and feasibility of the proposed quantized control strategy.