Optimal Efficiency Control of Induction Generators in Wind Energy Conversion Systems using Support Vector Regression
作者： Ahmed. G. Abo-Khalil , Dong-Choon Lee
DOI:
关键词: Wind power 、 Wind speed 、 Function (mathematics) 、 Control theory 、 Induction generator 、 Support vector machine 、 Flux 、 Engineering 、 Reduction (complexity) 、 Generator (circuit theory)
摘要: In this paper, a novel loss minimization of an induction generator in wind energy generation systems is presented. The proposed algorithm based on the flux level reduction, for which d-axis current reference estimated using support vector regression (SVR). Wind speed employed as input SVR and samples are used output to train off-line. Data collected training process, plots relation output. predicted off-line function instantaneous then determine reference. It shown that effect more significant at low reduction about 40% 4[m/s] speed. validity scheme has been verified by experimental results.
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