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
Link To Document :
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