RT Journal Article
T1 A novel adaptative maximum power point tracking algorithm for small wind turbines
A1 Kortabarria, Iñigo
A1 Andreu, Jon
A1 Martínez de Alegría, Iñigo
A1 Jiménez, Jaime
A1 Gárate, José Ignacio
A1 Robles, Eider
AB A novel maximum power point tracking algorithm for small wind turbines is proposed. The solution presented here is an adaptive intelligent algorithm that uses a new advanced perturb and observe method to search for the optimum relationship of the system for tracking the maximum power point even under variable wind conditions. The validity of the proposed algorithm is analysed and the design procedure is presented. Its main virtue resides in its capability to adapt to changes in the turbine and in the surrounding environment, even under variable wind conditions, improving the efficiency of the system. The experimental results confirm the validity of the proposed algorithm.
SN 0960-1481
YR 2014
FD 2014-03
LK https://hdl.handle.net/11556/4027
UL https://hdl.handle.net/11556/4027
LA eng
NO Kortabarria , I , Andreu , J , Martínez de Alegría , I , Jiménez , J , Gárate , J I & Robles , E 2014 , ' A novel adaptative maximum power point tracking algorithm for small wind turbines ' , Renewable Energy , vol. 63 , pp. 785-796 . https://doi.org/10.1016/j.renene.2013.10.036
NO This work has been carried out inside the Research and Education Unit UFI11/16 of the UPV/EHU and supported by the Department of Education, Universities and Research of the Basque Government within the fund for research groups of the Basque university system IT394-10.
DS TECNALIA Publications
RD 28 jul 2024