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Notice of Violation of IEEE Publication Principles
Fuzzy logic based control of variable speed induction machine wind generation system

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5 Author(s)
K. Kaur ; Electrical deptt., Bengal college of engineering & tech., Durgapur (W.B), India ; S. Chowdhury ; S. P. Chowdhury ; K. B. Mohanty
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Notice of Violation of IEEE Publication Principles

"Fuzzy Logic Based Control of Variable Speed Induction Machine Wind Generation System,"
by K. Kaur, S. Chowdhury, S.P. Chowdhury, K.B. Mohanty, A. Domijan,
in the Proceedings of the IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 pp.1-11, 20-24 July 2008

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant portions of original text and figures from the papers cited below. The original text was copied with attribution in the references, but the reused portions were not delineated within the paper. The lead author of the paper, K. Kaur, was found to be responsible for the misconduct.

"Fuzzy Logic Based Intelligent Control of a Variable Speed Cage Machine Wind Generation System,"
by M.G. Simoes, B.K. Bose, R.J. Spiegel,
in the IEEE Transactions on Power Electronics, vol.12, no.1, pp.87-95, Jan 1997

"Design and Performance Evaluation of a Fuzzy-logic-based Variable-speed Wind Generation System,"
by M.G. Simoes, B.K. Bose, R.J. Spiegel,
in the IEEE Transactions on Industry Applications, vol.33, no.4, pp.956-965, Jul/Aug 1997

The main objective of this paper is to analyze the performance of a variable speed wind generation system by using fuzzy logic principles for efficiency optimization and performance enhancement control. A squirrel cage induction generator feeds the power to a double-sided pulse width converter system, which feeds power to either an utility grid, or to an autonomous system. The generation system uses three numbers of fuzzy logic controllers. The first fuzzy controller tracks the generator speed with the wind velocity to extract maximum power. The second fuzzy logic controller programs machine f- ux for light load efficiency improvement. The third fuzzy logic controller provides robust speed control against wind vortex and turbine oscillatory torque.

Published in:

Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE

Date of Conference:

20-24 July 2008