Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics

2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics

📍Xi'an, China🗓️ 11-12 April 2016

The Study of Multi Machine Equivalent Model Of Wind Farm Based On The Wind Speed

Authors
Qing Liu
Corresponding Author
Qing Liu
Available Online August 2016.
DOI
10.2991/emcpe-16.2016.78How to use a DOI?
Keywords
Wind Farm Equivalent Method, Clustering Algorithm, Equivalent Modeling, PSCAD Time-domain Simulation
Abstract

With the rapid development of wind power technology, the size and number of grid-connected wind farms increase rapidly. Equivalent modeling of wind farms is the basis of the research on grid operating characteristics after wind power is connected to the grid. Long-distance transmission of large-scale wind power has become an inevitable trend, it seems that it is meaningful to study the equivalent model of wind farm. This paper build a multi machine equivalent model of wind farm

Copyright
© 2016, 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 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-197-1
ISSN
2352-5401
DOI
10.2991/emcpe-16.2016.78How to use a DOI?
Copyright
© 2016, 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  - Qing Liu
PY  - 2016/08
DA  - 2016/08
TI  - The Study of Multi Machine Equivalent Model Of Wind Farm Based On The Wind Speed
BT  - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/emcpe-16.2016.78
DO  - 10.2991/emcpe-16.2016.78
ID  - Liu2016/08
ER  -