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Voltage Build-Up Analysis of Self-Excited Induction Generator With Multi-Timescale Reduced-Order Model

Lookup NU author(s): Dr Yaodong WangORCiD, Professor Tony Roskilly



This is the final published version of an article that has been published in its final definitive form by IEEE, 2019.

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Self-excited induction generator (SEIG) has received a lot of attentions for its increasing application in distributed generation systems with the essential feature of low cost. To analysis the dynamic and transient performance of SEIG, several modified mathematical models have been developed for improving the regulation of voltage and frequency, but these models are still complicate to be used in practice. Based on the transient equivalent circuit of squirrel-cage induction machine, a reduced-order model of SEIG with complex transformation in two phase stationary reference frame is realized for the transient analysis of voltage build-up. In this simplified model, the coefficient of characteristic polynomial with multi-timescale time constants is proposed. Moreover, the physical interpretation for transient behavior of the system with the reconstructed time constants is established and visualized. Particularly, the upper and lower limits of the capacitance and speed for the SEIG with variations of different parameters are simulated and analyzed respectively. The accuracy and validation of the proposed SEIG model are verified for the transient analysis of voltage build-up. It is proved that the reduced-order model can be effectively used to reveal the dynamic stability of SEIG voltage build-up with the multi-timescale.

Publication metadata

Author(s): Teng KL, Lu ZS, Long J, Wang YD, Roskilly AP

Publication type: Article

Publication status: Published

Journal: IEEE Access

Year: 2019

Volume: 7

Pages: 48003-48012

Print publication date: 19/04/2019

Online publication date: 05/03/2019

Acceptance date: 21/02/2019

Date deposited: 07/03/2019

ISSN (print): 2169-3536

ISSN (electronic): 2169-3536

Publisher: IEEE


DOI: 10.1109/ACCESS.2019.2902977


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