Studies on the Screening Method of the Outliers of Wind Power in Wind Power Generation
Gang Feng, Hongjie Li, Lihua Liu, Lei Yi, Yao Liu, Jianping Fei, Dong Wang, Hongqing Wang
Available Online May 2014.
- https://doi.org/10.2991/lemcs-14.2014.121How to use a DOI?
- The least square method; time series iteration method; outlier identification;The outlier fitting model; MATLAB
- Through the analysis of wind power, reasonably adjusting the power is the key to stable operation of wind power generation. In this paper, first the wind power curve is studied on the basis of the least square method, so that the variation rules of wind power can be determined, and on the basis of a given reasonable threshold, the outliers and abnormal coefficient can be identified.secondly, we expand the data dimension and calculating the 15-day average of every time . Thus there is a new data set , and using the same method above can quickly locate the outliers existing range. Finally, time series iteration method is used to establish outliers identification model, and the points of wind power are found. Finally, the actual value on the abnormal point based on the outlier fitting model is estimated. Thus effective regulation of wind power can be achieved.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Gang Feng AU - Hongjie Li AU - Lihua Liu AU - Lei Yi AU - Yao Liu AU - Jianping Fei AU - Dong Wang AU - Hongqing Wang PY - 2014/05 DA - 2014/05 TI - Studies on the Screening Method of the Outliers of Wind Power in Wind Power Generation BT - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-14.2014.121 DO - https://doi.org/10.2991/lemcs-14.2014.121 ID - Feng2014/05 ER -