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ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

COMPARISON OF OPTIMIZATION TECHNIQUE TO FIND THE OPTIMAL LOCATION OF FACTS CONTROLLERS FOR TRANSMISSION LINE

Jagadeesh Kumar Muthukrishnan1, Subhransu Sekhar Dash1, Harish Kiran Selvakumar1, Subramani Chinnamuthu1 and Palanivel Panjamoorthy2
  • 1 Department of EEE, SRM University Chennai, Tamil Nadu, India
  • 2 Department of EEE, M.A.M College of Engineering, Tiruchirappalli, Tamil Nadu, India

Abstract

The aspect of this study is to compare the three different algorithms such as Genetic Algorithm (GA), Enhanced Genetic Algorithm (EGA) and Particle Swarm Optimization (PSO) to fine the optimal location of the FACTS device in the transmission line. The FACTS devices Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are selected based on the steady stability state and dynamic stability state. Each of the algorithms is coded in MATLAB and incorporated it with the conventional Newton Raphson’s load flow analysis. To find the effectiveness of the proposed algorithm IEEE 14-bus system is taken as the test system.

American Journal of Applied Sciences
Volume 11 No. 2, 2014, 280-290

DOI: https://doi.org/10.3844/ajassp.2014.280.290

Submitted On: 8 July 2013 Published On: 26 December 2013

How to Cite: Muthukrishnan, J. K., Dash, S. S., Selvakumar, H. K., Chinnamuthu, S. & Panjamoorthy, P. (2014). COMPARISON OF OPTIMIZATION TECHNIQUE TO FIND THE OPTIMAL LOCATION OF FACTS CONTROLLERS FOR TRANSMISSION LINE. American Journal of Applied Sciences, 11(2), 280-290. https://doi.org/10.3844/ajassp.2014.280.290

Open AccessCopyright: © 2014 Jagadeesh Kumar Muthukrishnan, Subhransu Sekhar Dash, Harish Kiran Selvakumar, Subramani Chinnamuthu and Palanivel Panjamoorthy. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Optimal Power Flow (OPF)
  • Flexible AC Transmission System (FACTS)
  • Genetic Algorithm (GA)
  • Enhanced Genetic Algorithm (EGA)
  • Particle Swarm Optimization (PSO)
  • Newton Raphson’s (NR) Power Flow