A novel adaptative maximum power point tracking algorithm for small wind turbines

Iñigo Kortabarria, Jon Andreu, Iñigo Martínez de Alegría, Jaime Jiménez, José Ignacio Gárate and Eider Robles

Renewable Energy, 2014, vol. 63, issue C, 785-796

Abstract: 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.

Keywords: Perturb and observe (P&O); Maximum power point (MPP) tracking (MPPT); Wind energy conversion system (WECS); Small wind turbine (SWT) (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:63:y:2014:i:c:p:785-796

DOI: 10.1016/j.renene.2013.10.036

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