Kortabarria, IñigoAndreu, JonMartínez de Alegría, IñigoJiménez, JaimeGárate, José IgnacioRobles, Eider2024-07-242024-07-242014-03Kortabarria , 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.2013.10.0360960-1481https://hdl.handle.net/11556/4027A 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.12enginfo:eu-repo/semantics/restrictedAccessjournal article10.1016/j.renene.2013.10.036Maximum power point (MPP) tracking (MPPT)Perturb and observe (P&O)Small wind turbine (SWT)Wind energy conversion system (WECS)Renewable Energy, Sustainability and the EnvironmentSDG 7 - Affordable and Clean Energyhttp://www.scopus.com/inward/record.url?scp=84887585239&partnerID=8YFLogxK