Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods

The Application for Harmonic Superposition in Wind Farm Using the Methodology of Monte-Carlo

Authors
Jiayi Wang, Yanchi Zhang, Hongkun Yang, Xiangping Xu, Yi Zha
Corresponding Author
Jiayi Wang
Available Online November 2015.
DOI
https://doi.org/10.2991/tmcm-15.2015.14How to use a DOI?
Keywords
wind farm; harmonic superposition; harmonic current phase; probability distribution; monte-carlo method
Abstract
The harmonic aggregation in wind power generation is widely concerned in engineering practice. In this paper, large volumes of voltage and current data in wind farm was measured and analyzed for exploring the distribution rules of harmonic current amplitude and phase, based on which, the probabilistic statistical model of harmonic current in wind farm was set up. And the superposition of harmonic in wind farm was predicted and evaluated with Monte-Carlo method. Simulation shows that the calculation of harmonic superposition with Monte-Carlo method has strong reliability and maneuverability. This method can be used to calculate the mean value of the superposition of harmonic and predict the harmonic aggregation at extreme situations.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Test, Measurement and Computational Methods
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-132-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/tmcm-15.2015.14How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiayi Wang
AU  - Yanchi Zhang
AU  - Hongkun Yang
AU  - Xiangping Xu
AU  - Yi Zha
PY  - 2015/11
DA  - 2015/11
TI  - The Application for Harmonic Superposition in Wind Farm Using the Methodology of Monte-Carlo
BT  - 2015 International Conference on Test, Measurement and Computational Methods
PB  - Atlantis Press
SP  - 53
EP  - 58
SN  - 2352-538X
UR  - https://doi.org/10.2991/tmcm-15.2015.14
DO  - https://doi.org/10.2991/tmcm-15.2015.14
ID  - Wang2015/11
ER  -