Maximum power extraction algorithm for a small wind turbine

Iñigo Kortabarria; Jon Andreu; Iñigo Martínez De Alegría; Edorta Ibarra; Eider Robles

doi:10.1109/EPEPEMC.2010.5606892

Maximum power extraction algorithm for a small wind turbine

Iñigo Kortabarria^*
, Jon Andreu
, Iñigo Martínez De Alegría
, Edorta Ibarra
, Eider Robles

^*Corresponding author for this work

Offshore Renewables Energies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference
Pages	T1249-T1254
DOIs	https://doi.org/10.1109/EPEPEMC.2010.5606892
Publication status	Published - 2010
Event	14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010 - Ohrid, Macedonia, The Former Yugoslav Republic of Duration: 6 Sept 2010 → 8 Sept 2010

Publication series

Name	Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference

Conference

Conference	14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010
Country/Territory	Macedonia, The Former Yugoslav Republic of
City	Ohrid
Period	6/09/10 → 8/09/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/EPEPEMC.2010.5606892

Cite this

Kortabarria, I., Andreu, J., De Alegría, I. M., Ibarra, E., & Robles, E. (2010). Maximum power extraction algorithm for a small wind turbine. In Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference (pp. T1249-T1254). Article 5606892 (Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference). https://doi.org/10.1109/EPEPEMC.2010.5606892

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title = "Maximum power extraction algorithm for a small wind turbine",

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.",

author = "I{\~n}igo Kortabarria and Jon Andreu and \{De Alegr{\'i}a\}, \{I{\~n}igo Mart{\'i}nez\} and Edorta Ibarra and Eider Robles",

year = "2010",

doi = "10.1109/EPEPEMC.2010.5606892",

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series = "Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference",

pages = "T1249--T1254",

booktitle = "Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference",

note = "14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010 ; Conference date: 06-09-2010 Through 08-09-2010",

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Kortabarria, I, Andreu, J, De Alegría, IM, Ibarra, E & Robles, E 2010, Maximum power extraction algorithm for a small wind turbine. in Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference., 5606892, Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference, pp. T1249-T1254, 14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010, Ohrid, Macedonia, The Former Yugoslav Republic of, 6/09/10. https://doi.org/10.1109/EPEPEMC.2010.5606892

Maximum power extraction algorithm for a small wind turbine. / Kortabarria, Iñigo; Andreu, Jon; De Alegría, Iñigo Martínez et al.
Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference. 2010. p. T1249-T1254 5606892 (Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Maximum power extraction algorithm for a small wind turbine

AU - Kortabarria, Iñigo

AU - Andreu, Jon

AU - De Alegría, Iñigo Martínez

AU - Ibarra, Edorta

AU - Robles, Eider

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/78650375822

U2 - 10.1109/EPEPEMC.2010.5606892

DO - 10.1109/EPEPEMC.2010.5606892

M3 - Conference contribution

AN - SCOPUS:78650375822

SN - 9781424478545

T3 - Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference

SP - T1249-T1254

BT - Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference

T2 - 14th International Power Electronics and Motion Control Conference, EPE-PEMC 2010

Y2 - 6 September 2010 through 8 September 2010

ER -

Kortabarria I, Andreu J, De Alegría IM, Ibarra E, Robles E. Maximum power extraction algorithm for a small wind turbine. In Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference. 2010. p. T1249-T1254. 5606892. (Proceedings of EPE-PEMC 2010 - 14th International Power Electronics and Motion Control Conference). doi: 10.1109/EPEPEMC.2010.5606892

Maximum power extraction algorithm for a small wind turbine

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