Title :
Battery sizing for a stand alone passive wind system using statistical techniques
Author :
Belouda, Malek ; Belhadj, Jamel ; Sareni, Bruno ; Roboam, Xavier
Author_Institution :
Lab. des Syst. Electriques (LSE), Univ. of Tunis, Tunis, Tunisia
Abstract :
In this paper, an original optimization method to jointly determine a reduced study term and an optimum battery sizing is investigated. This storage device is used to connect a passive wind turbine system with a stand alone network. A Weibull probability density function is used to generate different wind speed data. The passive wind system is composed of a wind turbine, a permanent magnet synchronous generator feeding a diode rectifier associated with a very low voltage DC battery bus. This study is essentially based on a similitude model applied on an 8 kW wind turbine system. Our reference model is taken from a 1.7 kW optimized system. The wind system generated power and the load demand are coupled through a battery sized using a statistical approach.
Keywords :
Weibull distribution; battery chargers; optimisation; permanent magnet generators; probability; secondary cells; synchronous generators; wind turbines; Weibull probability density function; battery sizing; diode rectifier; optimization method; passive wind turbine battery charger; passive wind turbine system; permanent magnet synchronous generator feeding; power 1.7 kW; power 8 kW; stand alone passive wind system; statistical approach; statistical techniques; storage device; very low voltage DC battery bus; Batteries; Integrated circuit modeling; Load modeling; Mathematical model; Rectifiers; Wind speed; Wind turbines; Wind energy systems; energy storage; mixed-reduced model; similitude approach; statistical methods;
Conference_Titel :
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4577-0413-0
DOI :
10.1109/SSD.2011.5767373