Dynamic patterns and model order reduction in small-signal models of doubly fed induction generators for wind power applications

This paper investigates the dynamic patterns that arise in the small-signal models of doubly fed induction generators for wind power applications. Dynamic patterns are associations between eigenvalues and state variables of linear dynamic systems that can be identified using participation factors. Based on the identified dynamic patterns, reduced order models are proposed and compared with detailed models