RT journal article
T1 Fuzzy logic based power management strategy of a multi-MW DFIG wind turbine with battery and ultracapacitor
A1 Sarrias Mena, Raúl
A1 Fernández Ramírez, Luis Miguel
A1 García Vázquez, Carlos Andrés
A1 Jurado, Francisco
A2 Ingeniería Eléctrica
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 Energy storage
K1 DFIG wind turbine
K1 Fuzzy control
K1 Power management
AB Integrating energy storage systems (ESS) with wind turbines results to be an interesting option for improving the grid integration capability of wind energy. This paper presents and evaluates a wind hybrid system consisting of a 1.5 MW doubly-fed induction generator (DFIG) wind turbine and double battery-ultracapacitor ESS. Commercially available components are used in this wind hybrid system. A novel supervisory control system (SCS) is designed and implemented, which is responsible for setting the active and reactive power references for each component of the hybrid system. A fuzzy logic controller, taking into account the grid demand, power generation prediction, actual DFIG power generation and state-of-charge (SOC) of the ESSs, sets the active power references. The reactive power references are proportionally delivered to each element regarding their current limitations in the SCS. The appropriate control of the power converters allows each power source to achieve the operation defined by the SCS. The wind hybrid system and SCS are assessed by simulation under wind fluctuations, grid demand changes, and grid disturbances. Results show an improved performance in the overall response of the system with the implementation of the SCS.
PB ELSEVIER
SN 0360-5442
YR 2014
FD 2014-06-01
LK http://hdl.handle.net/10498/34580
UL http://hdl.handle.net/10498/34580
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026