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A novel adaptative maximum power point tracking algorithm for small wind turbines |
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| Affiliation: | 1. Department of Electronic Technology, University of the Basque Country UPV/EHU, 48013 Bilbao, Spain;2. Energy Unit, Tecnalia, Parque Tecnológico de Bizkaia, 48160 Derio, Spain;1. Unité de Recherche en Energies Renouvelables en Milieu Saharien (URERMS), Centre de Développement des Energies renouvelables (CDER), 01000, Adrar, Algeria;2. Department of Electrical Engineering, Batna University, LSP-IE’ 05000, Batna, Algeria;1. Automatic Laboratory of Setif, University of Ferhat Abbas – Setif 1, Algeria;2. Laboratory of Computer Science and Automatic Control for Systems, University of Poitiers, France;1. School of Information Science and Engineering, Central South University, Changsha 410083, China;2. China Ming Yang Wind Power Group Co., Ltd., Zhongshan 528400, China;3. Huangshi Electric Power Supply Company in State Grid, Hubei 435000, China |
| 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) |
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