The Application for Harmonic Superposition in Wind Farm Using the Methodology of Monte-Carlo
Jiayi Wang, Yanchi Zhang, Hongkun Yang, Xiangping Xu, Yi Zha
Available Online November 2015.
- https://doi.org/10.2991/tmcm-15.2015.14How to use a DOI?
- wind farm; harmonic superposition; harmonic current phase; probability distribution; monte-carlo method
- 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.
- 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 - 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 - https://doi.org/10.2991/tmcm-15.2015.14 ID - Wang2015/11 ER -