Reduction of power system dynamic model using Krylov subspace method

This paper first analyzes the model reduction process of linear and nonlinear systems by Krylov subspace methods. Then reduced-order transformation is used to reduce the order of the power system nonlinear dynamic model, which reduces the dimension of the dynamic model and can describe the dynamic process of generator frequency accurately. Finally, IEEE 10-machine 39-bus system is used to verify the validity of the reduction method. Simulation results show that using Krylov subspace model reduction method for power system dynamic model greatly reduces simulation time of power system dynamic simulation and reserve dynamic stability of the original system under the premise of accuracy. At the same time, reduced order model lays the foundation for faster and more efficient active power-frequency control strategies.