2022/12/04 by Minquan Chen, Chen, Minquan, Deqiang Gan +1 · 1 citation
Engineering · Mathematics · Physics and Astronomy · #Power System Optimization and Stability #Numerical methods for differential equations #Model Reduction and Neural Networks
paper · pdf · doi:10.48550/arxiv.2212.01859
In this work, it is demonstrated that the usual power system dynamic model exhibits a feedforward-feedback control structure. The distinct properties of the feedforward and feedback subsystems are identified and studied using respective nonlinear system tools. The stability of the closed-loop system is investigated using a small gain argument from input-to-state stability theory. Test results are provided to further complement the theoretical findings. The introduced methodology also shed light on the dynamics study on other interconnected nonlinear systems.