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Improving waveform quality in direct power control of DFIG using fuzzy controller

This paper proposes a new direct power control (DPC) strategy of double-fed induction generator using fuzzy logic controller. The active and reactive power equations are expanded, and effects of voltage vectors on active and reactive power variations are investigated quantitatively. The selection of...

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Main Authors:	Boroujeni, H. Z., Othman, Mohd. Fauzi, Shirdel, Amir H., Rahmani, Rasoul, Movahedi, Parisa, Toosi, E. S.
Format:	Article
Published:	Springer 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/55759/ http://dx.doi.org/10.1007/s00521-014-1725-7
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id	my.utm.55759
record_format	eprints
spelling	my.utm.557592017-02-15T01:41:46Z http://eprints.utm.my/id/eprint/55759/ Improving waveform quality in direct power control of DFIG using fuzzy controller Boroujeni, H. Z. Othman, Mohd. Fauzi Shirdel, Amir H. Rahmani, Rasoul Movahedi, Parisa Toosi, E. S. TK Electrical engineering. Electronics Nuclear engineering This paper proposes a new direct power control (DPC) strategy of double-fed induction generator using fuzzy logic controller. The active and reactive power equations are expanded, and effects of voltage vectors on active and reactive power variations are investigated quantitatively. The selection of the voltage vectors is performed using fuzzy system which is used instead of optimal switching table. Four variables are used as inputs of the fuzzy system which are errors of active and reactive powers, real time value of the rotor speed and stator flux position. The defuzzified output is the optimal selected voltage vector. MATLAB/Simulink software is used for the purpose of simulation and the results reported show the effectiveness of the proposed method in improving the waveform quality. Compared with the conventional DPC, the proposed fuzzy technique can reduce the power out of band percentage by about 25 % which is very impressive Springer 2015-05 Article PeerReviewed Boroujeni, H. Z. and Othman, Mohd. Fauzi and Shirdel, Amir H. and Rahmani, Rasoul and Movahedi, Parisa and Toosi, E. S. (2015) Improving waveform quality in direct power control of DFIG using fuzzy controller. Neural Computing and Applications, 26 (4). pp. 949-955. ISSN 0941-0643 http://dx.doi.org/10.1007/s00521-014-1725-7 DOI:10.1007/s00521-014-1725-7
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Boroujeni, H. Z. Othman, Mohd. Fauzi Shirdel, Amir H. Rahmani, Rasoul Movahedi, Parisa Toosi, E. S. Improving waveform quality in direct power control of DFIG using fuzzy controller
description	This paper proposes a new direct power control (DPC) strategy of double-fed induction generator using fuzzy logic controller. The active and reactive power equations are expanded, and effects of voltage vectors on active and reactive power variations are investigated quantitatively. The selection of the voltage vectors is performed using fuzzy system which is used instead of optimal switching table. Four variables are used as inputs of the fuzzy system which are errors of active and reactive powers, real time value of the rotor speed and stator flux position. The defuzzified output is the optimal selected voltage vector. MATLAB/Simulink software is used for the purpose of simulation and the results reported show the effectiveness of the proposed method in improving the waveform quality. Compared with the conventional DPC, the proposed fuzzy technique can reduce the power out of band percentage by about 25 % which is very impressive
format	Article
author	Boroujeni, H. Z. Othman, Mohd. Fauzi Shirdel, Amir H. Rahmani, Rasoul Movahedi, Parisa Toosi, E. S.
author_facet	Boroujeni, H. Z. Othman, Mohd. Fauzi Shirdel, Amir H. Rahmani, Rasoul Movahedi, Parisa Toosi, E. S.
author_sort	Boroujeni, H. Z.
title	Improving waveform quality in direct power control of DFIG using fuzzy controller
title_short	Improving waveform quality in direct power control of DFIG using fuzzy controller
title_full	Improving waveform quality in direct power control of DFIG using fuzzy controller
title_fullStr	Improving waveform quality in direct power control of DFIG using fuzzy controller
title_full_unstemmed	Improving waveform quality in direct power control of DFIG using fuzzy controller
title_sort	improving waveform quality in direct power control of dfig using fuzzy controller
publisher	Springer
publishDate	2015
url	http://eprints.utm.my/id/eprint/55759/ http://dx.doi.org/10.1007/s00521-014-1725-7
_version_	1643653892735500288
score	13.211869

Improving waveform quality in direct power control of DFIG using fuzzy controller

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