DocumentCode :
34497
Title :
Probabilistic Approach for Power Capacity Specification of Wind Energy Storage Systems
Author :
Xiaoyu Wang ; Meng Yue ; Muljadi, Eduard ; Wenzhong Gao
Author_Institution :
Brookhaven Nat. Lab., Upton, NY, USA
Volume :
50
Issue :
2
fYear :
2014
fDate :
March-April 2014
Firstpage :
1215
Lastpage :
1224
Abstract :
To accommodate the wind power fluctuations, a hybrid energy storage system (HESS) consisting of a battery energy storage system (BESS) and a supercapacitor is evaluated in this paper. A probabilistic approach for economically determining the power capacity specification for the HESS is proposed. This method would allow the capacities of the BESS and the supercapacitor to be properly designed to optimize the characteristics of high energy density of the BESS and high power density of the supercapacitor. Results show that the supercapacitor within the HESS helps to process the high frequency fluctuations, which contributes to the extension of the BESS lifetime. In addition, the supercapacitor helps to address the peaks in wind power fluctuations without the severe penalty of round-trip losses associated with a BESS. The proposed approach has been simulated using real wind data from an existing wind power plant in Iowa.
Keywords :
fault diagnosis; probability; supercapacitors; BESS; HESS; battery energy storage system; energy density; frequency fluctuations; hybrid energy storage system; power capacity specification; power density; probabilistic approach; real wind data; round-trip losses; supercapacitor; wind energy storage systems; wind power fluctuations; wind power plant; Batteries; Capacity planning; Fluctuations; Kernel; Wind power generation; Wind speed; Wind turbines; Battery energy storage system (BESS); hybrid energy storage system (HESS); nonparametric probability density estimation; supercapacitor; wind power fluctuation;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2013.2272753
Filename :
6557518
Link To Document :
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