Review on Comparative Analysis of Induction Generators for Wind Power System

Authors(2) :-Ashwini S. Karule, Chetan M. Bobade

This paper describes the performance comparison of a wind power systems based on two different induction generators as well as the experimental demonstration of a wind turbine simulator for the maximum power extraction. The two induction machines studied for the comparison are the squirrel-cage induction generator (SCIG) and the doubly fed induction generator (DFIG). The techniques of direct grid integration, independent power control, and the droop phenomenon of distribution line are studied and compared between the SCIG and DFIG systems. Both systems are modeled in Matlab/Simulink environment, and the operation is tested for the wind turbine maximum power extraction algorithm results. Based on the simulated wind turbine parameters, a commercial induction motor drive was programmed to emulate the wind turbine and is coupled to the experimental generator systems. The turbine experimental results matched well with the theoretical turbine operation.

Authors and Affiliations

Ashwini S. Karule
ME Scholar, Department of Electrical Engineering, G. H. Raisoni College Of Engineering & Management, Amravati, Maharashtra, India
Chetan M. Bobade
Assistant Professor, Department of Electrical Engineering, G. H. Raisoni College Of Engineering & Management, Amravati, Maharashtra, India

Doubly Fed Induction Machines, Field-Oriented Control, Maximum Power Tracking, Wind Power System.

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 371-375
Manuscript Number : IJSRST1733110
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Ashwini S. Karule, Chetan M. Bobade, " Review on Comparative Analysis of Induction Generators for Wind Power System", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 3, pp.371-375, March-April-2017.
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