Abstract:  [Objectives] The multi-area interconnected power system has the problem of highly complex dynamic characteristics and the limited network resources, which may cause the risk of power system oscillation. To this end, a dual-channel dynamic event-triggered adaptive load frequency control scheme is proposed. [Methods] Firstly, based on the input and output data generated by power system operation, the power system data model equivalent to the original system is constructed by using dynamic linearization technology. Secondly, the data model is used to design an adaptive frequency controller through the gradient descent algorithm, and the control parameters are dynamically adjusted. Then, the dynamic event-triggered condition is set in the output channel and the input channel of the controller at the same time, so as to reduce the transmission frequency of the output information and the update times of the control input. Finally, simulation verification is carried out in a three-area interconnected power system. [Results] The simulation results show that compared with the traditional fixed gain PID control strategy, the proposed control strategy has achieved significant improvement in tracking performance and network resource utilization, which verifies its superiority and practicability. [Conclusions] The proposed control scheme solves the problems of limited network resources and complex dynamic characteristics of the system, and provides a guarantee for the safe and economic operation of the multi-area interconnected power system.

Key words: multi-area interconnected power system；adaptive control；dual-channel dynamic event-triggered；load frequency control, gradient descent algorithms, dynamic linearization, data-driven, networked control