Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Studies on the Screening Method of the Outliers of Wind Power in Wind Power Generation

Authors
Gang Feng, Hongjie Li, Lihua Liu, Lei Yi, Yao Liu, Jianping Fei, Dong Wang, Hongqing Wang
Corresponding Author
Gang Feng
Available Online May 2014.
DOI
https://doi.org/10.2991/lemcs-14.2014.121How to use a DOI?
Keywords
The least square method; time series iteration method; outlier identification;The outlier fitting model; MATLAB
Abstract
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.
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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.121How 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  - 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  -