DocumentCode :
2639608
Title :
Probability-based method for power capacity specification of wind energy storage systems
Author :
Gao, Wenzhong ; Wang, Xiaoyu ; Muljadi, Eduard
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA
fYear :
2011
fDate :
21-23 June 2011
Firstpage :
2050
Lastpage :
2055
Abstract :
To accommodate the wind power fluctuation, a hybrid energy storage system (HESS) consisting of battery energy system (BESS) and super-capacitor is adopted in this paper. A probability-based power capacity specification approach is proposed in this paper. Through this method the capacities of BESS and super-capacitor are properly designed to bridge the characteristics of high energy density of BESS and the characteristics of high power density of super-capacitor. Comparing to BESS for accommodating wind power fluctuations, HESS is more cost-effective due to the extension of BESS lifetime. The super-capacitor can handle the peaks in wind power fluctuations without the severe penalty of round trip losses associated with a BESS. The proposed approach has been verified based on the real wind data from an existing wind power plant.
Keywords :
fluctuations; hybrid power systems; probability; supercapacitors; wind power plants; battery energy system; energy density; hybrid energy storage system; power capacity specification; power density; probability-based method; real wind data; supercapacitor; wind energy storage systems; wind power fluctuation; wind power plant; Batteries; Fluctuations; Histograms; Wind farms; Wind power generation; Wind speed; Wind turbines; Battery energy storage system; hybrid energy storage system; non-parametric probability density estimation; super-capacitor; wind power fluctuation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
ISSN :
pending
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/ICIEA.2011.5975930
Filename :
5975930
Link To Document :
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