Inertia Modeling of Brushless Doubly-fed Induction Generator and Stability Analysis of Wind Power Grid

DOI

10.2991/eia-17.2017.6How to use a DOI?

Keywords

brushless doubly-fed induction generator (BDFIG); dual-stator structure; inertia model; system equivalent inertia; stability of power system

Abstract

Brushless doubly-fed induction generator (BDFIG) leave out the slip ring and brush as the dual-stator structure, which can improve the reliability, reduce maintenance costs and expect to be widely used in wind power system. The current converter is installed in the one of the dual stator winding: control winding (CW), then the motor rotor is linked together with the wind turbines. The mechanical and electric inertia have different with the doubly-fed induction generator (DFIG) because of the special structure and these features directly affect the stability of power system. On the establishment and qualitative analysis of the inertia models of single and group motors of BDFIG, the vector control (VC) of the small signal model is established to solve the eigenvalue for quantitative analysis of the stability of the wind power system connected to the grid, and compared with squirrel-cage asynchronous induction generator (SCAIG), DFIG and permanent magnet synchronous generator (PMSG) to analyze the different effects on the stability of the power system. The simulation results prove the correctness of the model.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Min LU
AU  - Hui LI
AU  - Mi ZHAO
PY  - 2017/07
DA  - 2017/07
TI  - Inertia Modeling of Brushless Doubly-fed Induction Generator and Stability Analysis of Wind Power Grid
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 24
EP  - 27
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.6
DO  - 10.2991/eia-17.2017.6
ID  - LU2017/07
ER  -