Genetic Algorithm based approach for the optimal allocation of FACTS devices

Bhattacharya, B., Goswami, S. K. and Bansal, R.C. (2010). Genetic Algorithm based approach for the optimal allocation of FACTS devices. In: Nader Barsoum, G. W. Weber and Pandian Vasant, Power, Control and Optimization: Proceedings of the 3rd Global Conference on Power Control and Optimization. Global Conference on Power Control and Optimization, Gold Coast, Australia, (53-56). 2-4 February 2010. doi:10.1063/1.3459786


Author Bhattacharya, B.
Goswami, S. K.
Bansal, R.C.
Title of paper Genetic Algorithm based approach for the optimal allocation of FACTS devices
Conference name Global Conference on Power Control and Optimization
Conference location Gold Coast, Australia
Conference dates 2-4 February 2010
Proceedings title Power, Control and Optimization: Proceedings of the 3rd Global Conference on Power Control and Optimization   Check publisher's open access policy
Journal name AIP Conference Proceedings   Check publisher's open access policy
Place of Publication College Park, MD, United States
Publisher Springer New York LLC
Publication Year 2010
Sub-type Fully published paper
DOI 10.1063/1.3459786
ISBN 978-0-7354-0785-5
ISSN 0094-243X
1935-0465
1551-7616
Editor Nader Barsoum
G. W. Weber
Pandian Vasant
Volume 1239
Issue 1
Start page 53
End page 56
Total pages 4
Language eng
Abstract/Summary This paper presents Genetic Algorithm (GA) based approach for the allocation of FACTS devices for the improvement of Power transfer capacity in an interconnected Power System. Simulations are done on IEEE 30 BUS System. The result obtained by the GA (Genetic Algorithm) approach is compared with that of obtained by PSO (Particle Swarm Optimization) method. The comparison shows how the system performance can be greatly improved with the GA based proposed approach. © 2010 American Institute of Physics.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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Created: Tue, 08 Mar 2011, 17:13:14 EST by Dr Ramesh Bansal on behalf of School of Information Technol and Elec Engineering