DocumentCode
3091503
Title
Notice of Retraction
Research on optimization and selection of WTG in wind farm
Author
Zeng Lihua ; Tian Jialin ; Zhang Xiaowei
Author_Institution
Hebei Electr. Power Design & Res. Inst., Shijiazhuang, China
Volume
1
fYear
2011
fDate
8-9 Sept. 2011
Firstpage
291
Lastpage
294
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The importance and progress of WTG selection are introduced in this paper. Based on the target of minimizing the cost of unit output, the influence on combining WTG and wind resource characteristics is considered, various WTGs are compared in the condition of WTG optimization layout by genetic algorithm, and the most suitable selection scheme is obtained finally. It makes maximum use of wind energy and accurately decides installing capacity in wind farm, unnecessary wake and other costs are reduced, it improves important basis for the WTG selection and the site in wind farm and benefits to the wind farm.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The importance and progress of WTG selection are introduced in this paper. Based on the target of minimizing the cost of unit output, the influence on combining WTG and wind resource characteristics is considered, various WTGs are compared in the condition of WTG optimization layout by genetic algorithm, and the most suitable selection scheme is obtained finally. It makes maximum use of wind energy and accurately decides installing capacity in wind farm, unnecessary wake and other costs are reduced, it improves important basis for the WTG selection and the site in wind farm and benefits to the wind farm.
Keywords
electric generators; power generation economics; wind power plants; wind turbines; WTG optimization; WTG selection; genetic algorithm; unit cost; wind farm; wind resource characteristic; Analytical models; Generators; Genetic algorithms; Wind farms; Wind power generation; Wind speed; Adaptive value model; Genetic algorithm; WTG; Wind farms; Wind resources characteristics;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9691-4
Type
conf
DOI
10.1109/PEAM.2011.6134858
Filename
6134858
Link To Document