  This paper presents a method to better integrate dynamic models for renewable
resources into synthetic electric grids. An automated dynamic models assignment
process is proposed for wind and solar generators. A realistic composition
ratio for different types of wind turbine generators (WTG) is assigned to each
wind generator. Statistics summarized from real electric grid data form the
bases in assigning proper models with reasonable parameters to each WTG. A
similar process is used to assign appropriate models and parameters to each
photovoltaic (PV) generator. Multiple control strategies of the renewable
resources are considered and tested in case studies. Two large-scale synthetic
network test cases are used as examples of modeling the dynamics of renewable
generators. Several transient stability metrics are adopted to assess the
stability level after being subject to N-1 contingency event. Representative
contingency events are given to demonstrate the performance of the synthetic
renewable generator models.
