State-space model generation of distribution networks for model order reduction application

Model order reduction has been the research focus for a long time in large system modeling and simulation field and is also of great significance in distribution grid simulations. However the model formulation requirements of many typical MOR (Model Order Reduction) methods restrict their applications in distribution grids. This paper presents an automated state-space model generation method of large-scale distribution networks for MOR application. The formulation requirements of general MOR methods can be well satisfied with this proposed model. It also shows great advantages over the commonly used MNA (Modified Nodal Analysis) formulation in many aspects. Simulations are performed using the benchmark low voltage test case, proving that the proposed method is feasible as a powerful tool in the modeling and simulation of large-scale distribution grids.