An Approach for Reduced Order Modeling of Nonlinear Power Systems

-In this paper we present an approach for the reduced order modeling of nonlinear power systems. We describe a combined symbolic-numeric methodology for a local model order reduction which is based on the theory of singularly perturbed systems. Since the properties of power systems are taken into account, we were able to define an easy to use formula which eliminates the necessity of engineering insight into the mechanism of large scale systems. This leads to the possibility of implementation in automated systems like simulation and analysis programs. Thus, this approach can make a significant contribution to the efficiency of the computation of electrical power systems.