Optimal Efficiency Control of Induction Generators in Wind Energy Conversion Systems using Support Vector Regression

Dong-Choon Lee; Ahmed. G. Abo-Khalil

Optimal Efficiency Control of Induction Generators in Wind Energy Conversion Systems using Support Vector Regression

Dong-Choon Lee

Ahmed. G. Abo-Khalil

Vol. 8, No. 4, pp. 345-353, Oct. 2008

10.6113/JPE.2008.8.4.345

Optimal efficiency

Induction Generator

Wind power generation

SVR

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Abstract

In this paper, a novel loss minimization of an induction generator in wind energy generation systems is presented. The proposed algorithm is based on the flux level reduction, for which the generator d-axis current reference is estimated using support vector regression (SVR). Wind speed is employed as an input of the SVR and the samples of the generator d-axis current reference are used as output to train the SVR algorithm off-line. Data samples for wind speed and d-axis current are collected for the training process, which plots a relation of input and output. The predicted off-line function and the instantaneous wind speed are then used to determine the d-axis current reference. It is shown that the effect of loss minimization is more significant at low wind speed and the loss reduction is about to 40% at 4[m/s] wind speed. The validity of the proposed scheme has been verified by experimental results.

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Cite this article

[IEEE Style]

D. Lee and A. G. Abo-Khalil, "Optimal Efficiency Control of Induction Generators in Wind Energy Conversion Systems using Support Vector Regression," Journal of Power Electronics, vol. 8, no. 4, pp. 345-353, 2008. DOI: 10.6113/JPE.2008.8.4.345.

[ACM Style]

Dong-Choon Lee and Ahmed. G. Abo-Khalil. 2008. Optimal Efficiency Control of Induction Generators in Wind Energy Conversion Systems using Support Vector Regression. Journal of Power Electronics, 8, 4, (2008), 345-353. DOI: 10.6113/JPE.2008.8.4.345.