Model-based maximum power point tracking for wind generators

Andrés Julián Saavedra-Montes; Carlos Andrés Ramos-Paja; Carlos Alejandro Ramírez-Goméz

doi:10.17533/udea.redin.n79a08

Model-based maximum power point tracking for wind generators

Authors

Andrés Julián Saavedra-Montes National University of Colombia https://orcid.org/0000-0002-2529-5082
Carlos Andrés Ramos-Paja National University of Colombia https://orcid.org/0000-0003-2231-4177
Carlos Alejandro Ramírez-Goméz National University of Colombia https://orcid.org/0000-0001-6347-2839

DOI:

https://doi.org/10.17533/udea.redin.n79a08

Keywords:

wind generation, loss-free resistor, multi-machine wind system, power optimization

Abstract

A model-based maximum power point tracking solution for wind systems is presented in this paper. The strategy uses the Loss-free resistor concept and a generator model, which relates the load impedance required to produce the maximum power depending on the generator rotor speed. The strategy performance is validated through simulation and the emulation of a multi-machine wind generation system. With the proposed strategy, it is possible to extract the maximum power of each generator and, therefore, the maximum power of the generation system.

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Author Biographies

Andrés Julián Saavedra-Montes, National University of Colombia

Associate Professor. Department of Electric and Automatic Energy, Faculty of Mines.

Carlos Andrés Ramos-Paja, National University of Colombia

Associate Professor. Department of Electric and Automatic Energy, Faculty of Mines.

Carlos Alejandro Ramírez-Goméz, National University of Colombia

Department of Electric and Automatic Energy, Faculty of Mines.

References

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Published

2016-06-16

How to Cite

Saavedra-Montes, A. J., Ramos-Paja, C. A., & Ramírez-Goméz, C. A. (2016). Model-based maximum power point tracking for wind generators. Revista Facultad De Ingeniería Universidad De Antioquia, (79), 75–83. https://doi.org/10.17533/udea.redin.n79a08

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Issue

No. 79 (2016): Revista Facultad de Ingeniería (Apr-Jun 2016)

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Articles

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