Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Equivalent Modeling of Wind Farm Based on Fuzzy Clustering

Authors
Liyang Liu, Junji Wu, Shaoliang Meng
Corresponding Author
Liyang Liu
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.398How to use a DOI?
Keywords
wind farm, equivalent modeling, power fluctuation, doubly-fed induction generator, fuzzy clustering
Abstract

Modeling of wind farm has become the focus research in the field of wind energy. In this paper, the wind generators are clustered through fuzzy clustering, every cluster contains certain number of generators. Each cluster can represent an equivalent generator; correspondingly the total power of wind farm will be the total power of all equivalent generators. This can avoid the gross error caused by taking the whole wind farm as one generator. The proposed method can largely reduce the computational complexity, which might lead to successful modeling of wind farm. The example simulation shows that the approach discussed in this paper can effectively indicate the power fluctuation of wind farm, and it is very helpful for wind power integration.

Copyright
© 2013, 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 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.398How to use a DOI?
Copyright
© 2013, 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  - Liyang Liu
AU  - Junji Wu
AU  - Shaoliang Meng
PY  - 2013/03
DA  - 2013/03
TI  - Equivalent Modeling of Wind Farm Based on Fuzzy Clustering
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1587
EP  - 1589
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.398
DO  - https://doi.org/10.2991/iccsee.2013.398
ID  - Liu2013/03
ER  -