Power Comparability Analysis of DFIG and SCIG based Wind Farm

Authors(3) :-Vishal Vaman Mehtre, Shripad Ganapati Desai, Prof. Dr. D. S. Bankar

The rapid depletion of conventional sources for power generation necessitates the need of renewable energy power plants. Renewable sources primarily wind and solar are available free of cost and counts for cleaner source of energy thereby reducing environmental concern. The potential of wind energy needs to be harnessed effectively for optimum power generation. Present research aims at comparison of wind power performance characteristics utilizing squirrel cage induction generator (SCIG) and doubly fed induction generator (DFIG) focusing on load flow analysis, active power at various wind speeds and reactive power analysis. The simulation and analysis pinpoints the suitable generator at various wind speeds to consummate for selection in a distinct wind farm. The evaluation consisted identical operating conditions and control schemes.

Authors and Affiliations

Vishal Vaman Mehtre
Department of Electrical Engineering, Bharati Vidyapeeth Deemed University College of Engineering, Pune, India
Shripad Ganapati Desai
Department of Electrical Engineering, Bharati Vidyapeeth Deemed University College of Engineering, Pune, India
Prof. Dr. D. S. Bankar
Department of Electrical Engineering, Bharati Vidyapeeth Deemed University College of Engineering, Pune, India

Power generation, SCIG, DFIG, wind farm

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2016
Date of Publication : 2016-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 535-539
Manuscript Number : IJSRSET162373
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Vishal Vaman Mehtre, Shripad Ganapati Desai, Prof. Dr. D. S. Bankar , " Power Comparability Analysis of DFIG and SCIG based Wind Farm, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.535-539, May-June-2016. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET162373

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