Title :
Maximum power extraction algorithm for a small wind turbine
Author :
Kortabarria, Iñigo ; Andreu, Jon ; de Alegría, Iñigo Martínez ; Ibarra, Edorta ; Robles, Eider
Author_Institution :
Electron. & Telecommun. Dept., Univ. of the Basque Country, Bilbao, Spain
Abstract :
Today, a characteristic of the operating regime of small wind turbines is that they do not obtain the maximum power efficiency. Taking into account that that the operability margin can, in general, be enhanced, this paper sets out to develop algorithms designed to extract the maximum power. First, an analysis is made of existing algorithms and as a result, a new algorithm is proposed to track the maximum power point (MPPT). This algorithm is based on an improvement in another previously defined in the literature. The proposed algorithm resolves the problem of Hill-climb searching algorithms in tracking the maximum power point, when the wind speed drops sharply. Lastly, the proposed algorithm is valid under any wind conditions and is, moreover, an economical alternative as it does not require any additional sensor for it to operate correctly.
Keywords :
maximum power point trackers; search problems; wind turbines; Hill-climb searching algorithms; maximum power extraction algorithm; maximum power point; small wind turbines; Capacitors; Integrated circuit modeling; Inverters; Turning; Wind speed; Wind turbines;
Conference_Titel :
Power Electronics and Motion Control Conference (EPE/PEMC), 2010 14th International
Conference_Location :
Ohrid
Print_ISBN :
978-1-4244-7856-9
DOI :
10.1109/EPEPEMC.2010.5606892