Data‐Driven Dual‐Channel Dynamic Event‐Triggered Load Frequency Control for Multiarea Power Systems Under DoS Attacks

ABSTRACT System dynamics uncertainties and cyberattacks pose significant challenges to load frequency control in power systems. This paper presents a data‐driven load frequency control strategy for interconnected multi‐area power systems subject to denial‐of‐service attacks that disrupt both feedforward and feedback communication channels. A dynamic linearization method is employed to construct an equivalent data model of the power system. To enhance control performance, the proposed controller integrates proportional, differential, and quadratic difference terms. Additionally, a dynamic dual event‐triggered mechanism is designed to improve resource efficiency and reduce computational overhead. The proposed approach also compensates for DoS attacks affecting both feedback and feedforward channels. Simulation results demonstrate that the method operates without requiring prior system model information, relying solely on control input and output data. Extensive simulations validate the effectiveness and robustness of the proposed control strategy.