Dynamic model reduction of power electronic interfaced generators based on singular perturbation

There is a current trend for development of high-power electronics for power systems. To improve the efficiency of large-scale system simulations, order reduction of power electronic interfaced generator models has become an urgent problem to be addressed for the integration of new energy. In this paper, a battery energy storage system (BESS) is taken as the research object. A detailed grid-connected model is established and the time-scale of the eigenvalue sensitivity partition model is introduced. A multi-time scale model and reduced-order processing based on singular perturbation theory are analyzed, and the error is calculated for reduced-order models. Simulation analysis of the different reduced-order models proposed in this paper shows that these models can achieve a balance between computational efficiency and reduced-order accuracy for transient simulation of power electronic interfaced generator grid-connected systems, and can be adapted for efficient simulation of large-scale new energy grid-connected systems.