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

Lee, Dong-Choon (Dept. of Electrical Eng., Yeungnam University)
Abo-Khalil, Ahmed. G. (Dept. of Electrical Eng., Assiut University)
Publication Information
Journal of Power Electronics / v.8, no.4, 2008 , pp. 345-353 More about this Journal
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.
Keywords
Optimal efficiency; Induction generator; Wind power generation; SVR;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By Web Of Science : 1  (Related Records In Web of Science)
Times Cited By SCOPUS : 2
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