UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 3
March-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1703112


Registration ID:
513129

Page Number

652-659

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Title

Optimal Capacitance Integration in Self Excited Induction Generator for Supplying Reactive Power using Genetic Algorithm for Efficient Performance

Abstract

The research article discuss the approach to find the best possible value of the series and shunt capacitance to be connected in order to get the best possible voltage profile with the available arrangement using genetic algorithm. A Meta heuristic approach is used for the selection strategy of the series and shunt capacitors to get optimum voltage regulation. The connection scheme taken is the short shunt scheme as it has performance superiorities as compared to long shunt connections. The two unknowns Xm and f have been found out using the conventional MATLAB routine, these values are used for the further calculations to find out the optimum set of the series and shunt capacitance values for SEIG to give best voltage regulation. This requires evaluating the generator characteristics under constant voltage operation. The technique employed in the article is Genetic Algorithm based Optimization Method which has a population of random solutions and here the series and shunt capacitances have been kept as the random values. The idea behind using this method is that the method is more effective and is not complex and more accurate results are obtained using this method as the other method doe not converge to the expectation.

Key Words

SEIG, Capacitance Integration, Genetic Algorithm, Reactive Power

Cite This Article

"Optimal Capacitance Integration in Self Excited Induction Generator for Supplying Reactive Power using Genetic Algorithm for Efficient Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 3, page no.652-659, March-2017, Available :http://www.jetir.org/papers/JETIR1703112.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Optimal Capacitance Integration in Self Excited Induction Generator for Supplying Reactive Power using Genetic Algorithm for Efficient Performance", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 3, page no. pp652-659, March-2017, Available at : http://www.jetir.org/papers/JETIR1703112.pdf

Publication Details

Published Paper ID: JETIR1703112
Registration ID: 513129
Published In: Volume 4 | Issue 3 | Year March-2017
DOI (Digital Object Identifier):
Page No: 652-659
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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