DocumentCode
2541822
Title
Notice of Violation of IEEE Publication Principles
Fuzzy logic based control of variable speed induction machine wind generation system
Author
Kaur, K. ; Chowdhury, S. ; Chowdhury, S.P. ; Mohanty, K.B. ; Domijan, A.
Author_Institution
Electr. Dept., Bengal Coll. of Eng. & Tech., Durgapur
fYear
2008
fDate
20-24 July 2008
Firstpage
1
Lastpage
11
Abstract
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 fl- ux for light load efficiency improvement. The third fuzzy logic controller provides robust speed control against wind vortex and turbine oscillatory torque.
"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 fl- ux for light load efficiency improvement. The third fuzzy logic controller provides robust speed control against wind vortex and turbine oscillatory torque.
Keywords
angular velocity control; fuzzy control; power generation control; power grids; robust control; squirrel cage motors; torque control; wind turbines; autonomous system; double-sided pulse width converter system; fuzzy logic based control; fuzzy logic principles; maximum power extraction; performance enhancement control; robust speed control; squirrel cage induction generator; utility grid; variable speed induction machine wind generation system; wind turbine oscillatory torque; Control systems; Feeds; Fuzzy logic; Induction generators; Induction machines; Performance analysis; Velocity control; Wind energy generation; Wind speed; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location
Pittsburgh, PA
ISSN
1932-5517
Print_ISBN
978-1-4244-1905-0
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2008.4596658
Filename
4596658
Link To Document