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

DOI

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.

Copyright

© 2015, 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  - 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  - Proceedings of the 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  - 10.2991/tmcm-15.2015.14
ID  - Wang2015/11
ER  -