Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)

Research of The Grid-connected Simulation Model Improvement of Double-fed Induction Generator

Authors
Qinyu Bai, Jun Xu, Yonggang Zhang, Yu Chen, Youyin Wang
Corresponding Author
Qinyu Bai
Available Online July 2017.
DOI
10.2991/iccte-17.2017.95How to use a DOI?
Keywords
DFIG model, output characteristic of wind turbine generator, data fitting, simulation accuracy
Abstract

In this paper, aimed at reducing deviation of the output characteristic between DFIG model and operating wind turbine generator. A method using measured data for modifying the model of DFIG is provided. Firstly, the data fitting method is used to get the mathematical model of the operating turbine. Secondly, the model is studied to improve its control strategy. At last, an example is given in PSCAD and showed that the modified model truthfully reflects the output characteristics of the operating wind turbine generator which improved the integration simulation accuracy of DFIG.

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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Volume Title
Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-353-1
ISSN
2352-5401
DOI
10.2991/iccte-17.2017.95How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Qinyu Bai
AU  - Jun Xu
AU  - Yonggang Zhang
AU  - Yu Chen
AU  - Youyin Wang
PY  - 2017/07
DA  - 2017/07
TI  - Research of The Grid-connected Simulation Model Improvement of Double-fed Induction Generator
BT  - Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)
PB  - Atlantis Press
SP  - 539
EP  - 543
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-17.2017.95
DO  - 10.2991/iccte-17.2017.95
ID  - Bai2017/07
ER  -