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Home > Archives > Volume 20, No 11 (2022) > Article

DOI: 10.14704/nq.2022.20.11.NQ66169

Dynamic Equivalence of DFIG Using Model Order Reduction

S.Anitha Kumari, B.Priya Esther, P.Marish Kumar


The dynamic model of Doubly Fed Induction Generator (DFIG) is essential for deploying advanced control strategies. Real time simulation settings that include advanced control system require reduced order models so as to reduce computational complexity. The challenge then is to develop reduced order models for efficient and accurate extraction of qualitative and quantitative information from these models for a particular situation. In this paper an overview and comparison of aggregation, modal analysis based and norm based model reduction techniques has been discussed considering a grid connected DFIG model. It has been deduced that the dynamics of the reduced order model using balanced truncation and realization were close to the full-order DFIG model.


Doubly fed induction generator, Model order reduction, Norm based methods, aggregation modal analysis

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