Title :
Performance of hybrid energy storage system within wind power hourly operation plan
Author :
Forte, N. ; Dicorato, M. ; Forte, G. ; Trovato, M.
Author_Institution :
Dept. of Electrical and Information Engineering, Politecnico di Bari, Italy
fDate :
June 29 2015-July 2 2015
Abstract :
The integration of wind energy in power system is severely limited by its intermittency and uncertainty, hindering true prediction of power generation and formulation of accurate delivery plan. The adoption of energy storage systems may improve the production planning forecast. In this paper, a programming model of a hybrid energy storage system for a wind farm is proposed. In particular, the algorithm is aimed at coordinating a battery energy storage system as slow unit and a flywheel energy storage system as fast one, in order to compensate generation variation. Starting from a delivery plan, set according to day-ahead market results to improve the revenue of the combined wind-storage system, the procedure evaluates the adjustments due to hourly mismatch of the operation plan. The algorithm is implemented in MATLAB.
Keywords :
Energy storage; Market research; Production; System-on-chip; Wind farms; Wind forecasting; Wind power generation; day-ahead operation plan; hybrid energy storage; wind power variability;
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven, Netherlands
DOI :
10.1109/PTC.2015.7232455