Gravitational search algorithm based optimization technique for enhancing the performance of self excited induction generator-Reference-Cited by-同舟云学术

Gravitational search algorithm based optimization technique for enhancing the performance of self excited induction generator

Published:2019-07-31 Issue:5 Volume:10 Page:1082-1090
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Paliwal Swati^ORCID,Sinha Sanjay Kumar,Chauhan Yogesh Kumar

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/content/pdf/10.1007/s13198-019-00838-1.pdf

Reference23 articles.

1. Basset ED, Potter FM (1935) Capacitive excitation for induction generator. AIEE Trans Electr Eng 54:540–545

2. Bonert R, Rajakaruna S (1998) Self excited generator with excellent voltage and frequency control. IEEE Proc Gener Transm Distrib 145(1):33–39

3. Chaturvedi Y, Goel A (2019) Wind powered electricity generation through self-excited induction generator. Int Sci J World Sci News 121:95–105

4. Chauhan YK, Jain SK, Singh B (2010) A prospective on voltage regulation of self-excited induction generator for industry applications. IEEE Trans Ind Appl 46(2):720–730

5. Chauhan YK, Jain SK, Singh B (2011) Genetic algorithm-based optimum performance of compensated self-excited induction generator. Int J Model Simul 1(4):263–270

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