Neural MPPT of variable pitch wind generators with induction machines in a wide wind speed range

Cirrincione, Maurizio and Pucci, M. and Vitale, G. (2014) Neural MPPT of variable pitch wind generators with induction machines in a wide wind speed range. IEEE Transactions on Industry Applications, 49 (2). pp. 942-953. ISSN 0093-9994

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Abstract

This paper proposes a maximum power point tracking (MPPT) technique for variable-pitch wind generators with induction machines (IMs), which can suitably be adopted in both the maximum power range and the constant-power range of the wind speed. To this aim, an MPPT technique based on the growing neural gas (GNG) wind turbine surface identification and corresponding function inversion has been adopted here to cover also the situation of variable-power region. To cope with the constant-power region, the blade pitch angle has been controlled on the basis of the closed-loop control of the mechanical power absorbed by the IM. The wind speed is then estimated in the constant-power region on the basis of the actual position of the blade pitch angle. The proposed methodology has been verified both in numerical simulation and experimentally on a properly devised test setup. In addition, a comparison between the proposed approach and the previously developed GNG-based MPPT has been performed on a real wind speed profile. Finally, the effect of the torsional stiffness of the mechanical transmission system has been analyzed.

Item Type:	Journal Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Fulori Nainoca - Waqairagata
Date Deposited:	31 Mar 2015 02:31
Last Modified:	20 Sep 2016 22:46
URI:	https://repository.usp.ac.fj/id/eprint/8171

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