“Section to Point” Correction Method for Wind Power Forecasting Based on Cloud Theory
Joint Authors
Liu, Dunnan
Hu, Yu
Xu, Yujie
Li, Canbing
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
As an intermittent energy, wind power has the characteristics of randomness and uncontrollability.
It is of great significance to improve the accuracy of wind power forecasting.
Currently, most models for wind power forecasting are based on wind speed forecasting.
However, it is stuck in a dilemma called “garbage in, garbage out,” which means it is difficult to improve the forecasting accuracy without improving the accuracy of input data such as the wind speed.
In this paper, a new model based on cloud theory is proposed.
It establishes a more accurate relational model between the wind power and wind speed, which has lots of catastrophe points.
Then, combined with the trend during adjacent time and the laws of historical data, the forecasting value will be corrected by the theory of “section to point” correction.
It significantly improves the stability of forecasting accuracy and reduces significant forecasting errors at some particular points.
At last, by analyzing the data of generation power and historical wind speed in Inner Mongolia, China, it is proved that the proposed method can effectively improve the accuracy of wind speed forecasting.
American Psychological Association (APA)
Liu, Dunnan& Hu, Yu& Xu, Yujie& Li, Canbing. 2015. “Section to Point” Correction Method for Wind Power Forecasting Based on Cloud Theory. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074995
Modern Language Association (MLA)
Liu, Dunnan…[et al.]. “Section to Point” Correction Method for Wind Power Forecasting Based on Cloud Theory. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1074995
American Medical Association (AMA)
Liu, Dunnan& Hu, Yu& Xu, Yujie& Li, Canbing. “Section to Point” Correction Method for Wind Power Forecasting Based on Cloud Theory. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1074995
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074995