Title :
Power capacity specification for energy storage in wind application using probability- based method
Author :
Gao, Wenzhong ; Wang, Xiaoyu ; Muljadi, Eduard
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA
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 for the BESS and super-capacitors is proposed. Through this method the capacities of BESS and super-capacitor are properly designed to combine the characteristics of high energy density of BESS and the characteristics of high power density of super-capacitor. It turns out that the super-capacitor within HESS deals with the high frequency fluctuations, which contributes to the extension of BESS lifetime, and 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 in Iowa.
Keywords :
cells (electric); probability; supercapacitors; wind power plants; battery energy system; energy density; frequency fluctuations; hybrid energy storage system; power density; probability-based power capacity specification approach; round trip losses; supercapacitor; wind power fluctuation; wind power plant; Batteries; Capacitors; Discharges; Fluctuations; Integrated circuit modeling; Wind power generation; Wind turbines; Battery energy storage system; hybrid energy storage system; non-parametric probability density estimation; super-capacitor; wind power fluctuation;
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2011 IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4577-0542-7
DOI :
10.1109/ECCE.2011.6064049