Resilient Event‐Triggered Load Frequency Control for Interconnected Renewable Power Systems Considering Parameter Uncertainties

Though the integration of renewable energy sources into power grids increases, their inherent intermittency and uncertainty may undermine the effectiveness of conventional load frequency control (LFC) strategies. Distributed LFC (DLFC) has emerged as a promising solution by leveraging distributed control architectures and advanced communication technologies. However, existing DLFC approaches face two major limitations: (1) inaccuracies in small‐signal modelling due to shifts in the system's steady‐state operating point and (2) inefficiencies in conventional event‐triggered control mechanisms, which fail to adapt dynamically to system fluctuations. To address these challenges, this work presents a resilient memory‐based event‐triggered LFC method and explicitly considers parameter uncertainties in interconnected renewable power systems. First, an enhanced small‐signal LFC model that incorporates an uncertain but bounded matrix, is developed. Second, an advanced event‐triggered scheme is introduced. Finally, a robust control synthesis framework is formulated based on linear matrix inequalities, integrating performance criteria to enhance system resilience against uncertainties and disturbances. Theoretical analysis and numerical simulations validate the effectiveness of the proposed approach in improving frequency stability and control efficiency.