DocumentCode
570357
Title
Multi-time scales coordination scheduling of wind power integrated system
Author
Wang, Kui ; Zhang, Buhan ; Wu, Xiaoshan ; Zhai, Jiajun ; Shao, Wen ; Duan, Yao
Author_Institution
Coll. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2012
fDate
21-24 May 2012
Firstpage
1
Lastpage
4
Abstract
Coordination method between long-term and short-time generation scheduling of wind power integrated system are proposed. Long-term scheduling mainly solves unit maintenance scheduling and energy allocation among weeks, and short-term scheduling decides unit commitment and hourly power output. In order to cope with the high uncertainty of wind power and load demand, dynamic rolling generation scheduling are implemented weekly based on the updated load and wind power prediction results. A modified IEEE 118-bus system is applied to test the proposed model.
Keywords
load forecasting; power generation scheduling; wind power; wind power plants; IEEE 118-bus system; dynamic rolling generation scheduling; energy allocation; load demand; multitime scale coordination scheduling; power generation scheduling; unit commitment; unit maintenance scheduling; wind power; wind power integrated system; Dynamic scheduling; Indexes; Maintenance engineering; Power systems; Wind farms; Wind power generation; long-term scheduling; multi-time scales coordination; short-term scheduling; wind power;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location
Tianjin
Print_ISBN
978-1-4673-1221-9
Type
conf
DOI
10.1109/ISGT-Asia.2012.6303174
Filename
6303174
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