Adaptive Funnel Synchronization Control for Complex Switching Networks in Power Systems

This article investigates the synchronization control issue of complex power networks with switching parameters. In order to better describe the modern power systems with the characteristics of distributivity and uncertainty, we establish a mathematical model of complex power networks with switched parameters, where the dynamics of intermittent sustainable energy sources and flexible loads are taken into account. Motivated by the practical needs for the safety limitations and prescribed performance of node states during the synchronizaiton process, we further propose an adaptive funnel control scheme with prespecified funnel boundary to ensure that the output maintains in prescribed constrained regions. Neural networks approximation is utilized for the controller design to estimate the unknown nonlinearities. By applying the Lyapunov theory, it is guaranteed that the tracking signals are semi-globally, uniformly, and ultimatedly bounded. Eventually, the numerical examples are represented to demonstrate the efficacy of the proposed strategy.