DocumentCode :
2065224
Title :
Sizing an energy storage system to minimize wind power imbalances from the hourly average
Author :
Boutsika, T. ; Santoso, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
Variability and uncertainty in wind power represent significant risks to system operators as well as wind farm owners. The coupling of wind with energy storage systems has been used as a means of managing wind power variability and intermittency. The purpose of this paper is to provide a methodology to estimate the size (power and energy capacities) of an energy storage system with the goal of minimizing deviations from the hourly average wind power production. Using a probabilistic forecast of the hourly average wind power production and the inverse of the joint cumulative distribution of the maximum and minimum deviations from the hourly average, hour-long wind power production scenarios are generated. The statistics of the energy storage system´s characteristics are then estimated from these scenarios as a function of the desired risk parameter. The evaluation of the proposed methodology using real-world wind power data reveals that the generated wind power production scenarios have distributions which exhibit a small statistical distance to the actual ones. Moreover, the estimated energy storage system characteristics have coverage rates close to the nominal ones, with an average absolute deviation less than 1.5%.
Keywords :
energy storage; power system management; wind power plants; energy storage system; generated wind power production; real-world wind power data; system operators; wind farm; wind power imbalances; wind power intermittency; wind power variability; Energy storage; Joints; Probability distribution; Production; Wind farms; Wind forecasting; Wind power generation; Energy storage; Statistics; 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.2012.6345551
Filename :
6345551
Link To Document :
بازگشت