DocumentCode :
2046260
Title :
Multiple time-scale coordinated power control system to accommodate significant wind power penetration and its real application
Author :
Wenchuan Wu ; Boming Zhang ; Jianhua Chen ; Taiyi Zhen
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
To accommodates large scale wind power integration, a multi-time scale coordinated automatic power dispatching system is developed in this paper. In this system, an approach of `incremental refinement in sequence time scale´ is proposed according to the predicting precision of wind power in different time scales. Firstly, the framework of this system is introduced. Secondly, the methods to predict the generation demand trend are proposed including ideal generation output model, extended short-term forecasting and ultra-short-term forecasting. Thirdly, the online rolling power scheduling model is presented, which runs every half hour ahead. Fourthly, the real-time power dispatching model is discussed, which is used to balance the power in 10 minutes ahead. Fifthly, a real-time control method under wind-curtailed status is also proposed, which is activated while wind power is curtailed. In the last, some actual data from an on-site system is illustrated.
Keywords :
load forecasting; power control; power generation control; power generation dispatch; power generation scheduling; wind power plants; extended short-term forecasting; generation output model; large scale wind power integration; multiple time-scale coordinated power control system; multitime scale coordinated automatic power dispatching system; online rolling power scheduling model; real-time control method; real-time power dispatching model; time 10 hour; ultrashort-term forecasting; Automatic generation control; Generators; Real-time systems; Schedules; Wind power generation; Active Power Dispatch; Multi-time scale; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6344832
Filename :
6344832
Link To Document :
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