DocumentCode :
570453
Title :
Research on energy storage system capacity allocation to improve wind power integration capability
Author :
Li, Junhui ; Yan, Gangui ; Xie, Guoqiang ; Mu, Gang ; Feng, Xiaodong ; Liu, Yang ; Cui, Xinzhen ; Ge, Weichun
Author_Institution :
Sch. of Electr. Eng., North China Electr. Power Univ., Beijing, China
fYear :
2012
fDate :
21-24 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
For large-scale wind power access to the grid based on thermal power peaking, the structure of power and peaking capability restrict the accessing of large-scale wind power. Large-scale energy storage system can achieve load space-time translation and improve security and economy of power grid operation. In this paper, considering factors of storage cost, wind power investment cost and wind power revenue, a storage capacity optimal allocation method by using large-scale storage is presented to improve the grid ability of integrating wind power. This method is applied in simulations where a typical power load of a province in 2010 is considered. The results verify the effectiveness and feasibility of the proposed method.
Keywords :
energy storage; power grids; wind power; economy improvement; energy storage system capacity allocation; grid ability improvement; large-scale wind power access; load space-time translation; power grid operation; security improvement; storage cost; thermal power peaking; wind power integration capability improvement; wind power investment cost; wind power revenue; Batteries; Educational institutions; Optimization; Power grids; Wind power generation; energy storage configuration; thermal power peaking; wind power integration capacity;
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.2012.6303280
Filename :
6303280
Link To Document :
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