Challenges of model reduction in modern power grid with wind generation

Abstract

This paper presents the challenges of model order reduction of modern power grids with inverter-interfaced wind generation. To that end, a widely used model reduction technique called Balanced Truncation (BT) is compared with a relatively new moment matching approach known as the Iterative Rational Krylov Algorithm (IRKA). It is demonstrated that both BT and IRKA can produce an acceptable accuracy during model reduction for power grids with synchronous generators whereas IRKA produces better accuracy when Doubly Fed Induction Generator (DFIG)-based wind generation is considered.