Google Scholar

##plugins.themes.academic_pro.article.sidebar##

Published
Nov 10, 2014
Download
PDF
Statistic
Read Counter : 20 Download : 22

Downloads

Download data is not yet available.

##plugins.themes.academic_pro.article.main##

Abstract

Voltage instability and voltage collapse are the foremost permanent concerns of electric utilities because of blackout event occurrences around the world. Flexible AC Transmission Systems (FACTS) has been proposed as the better alternative to overcome this, as in addition to improving voltage stability they improve system performance, reliability, quality of supply and also provide environmental benefit. The type of FACTS device and their location and setting in the system have different effect on power system. For determining that optimal location and rating which maximises voltage stability, this paper employs Genetic Algorithm (GA) based optimisation technique. Static Var Compensator (SVC) is the FACTS device used for improving voltage stability margin. To analyze the voltage stability of power system, Continuation Power Flow (CPF) analysis is used here. The study was conducted on IEEE 14 bus, modified IEEE 30 bus and 26 bus KSEB system and the optimal location and rating were identified.

Keywords: Continuation power flow, FACTS, genetic algorithm, static var compensator. 

##plugins.themes.academic_pro.article.details##

Author Biography

Nithin A Skaria, Mahatma Gandhi University, Amaljyothi College of Engineering, Kottayam, Kerala

PG Scholar, Power Electronics and Power Systems
How to Cite
Skaria, N. A., Baby, S., & D.M., A. (2014). Optimal Placement of SVC in Power System for Voltage Stability Enhancement Using Genetic Algorithm. International Journal of Emerging Trends in Science and Technology, 1(09). Retrieved from http://igmpublication.org/ijetst.in/index.php/ijetst/article/view/398

References

1. Esmaeil Ghahremani and Innocent Kamwa, “Optimal Placement of Multiple Type FACTS Devices to Maximize Power System Loadability Using a Generic Graphical User Interface", IEEE Transactions on Power Systems, vol. 28, no.2, pp. 764-778, May 2013.
2. S. Gerbex, R. Cherkaoui, and A. J. Germond, "Optimal location of multitype FACTS devices in a power system by means of genetic algorithms", IEEE Trans. Power Systems, vol. 16, pp. 537-544, August. 2001.
3. N. G. Hingorani, L. Gyugyi, “Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems", Wiley IEEE Press, December 1999.
4. P. Kundur, “Power System Stability and Control", Tata McGraw Hill Inc., 1994.
5. V. Ajjarapu, C. Christy, “The Continuation Power Flow: a Tool for Steady State Voltage Stability Analysis", IEEE Transactions on Power Systems, vol.7, no.1, pp. 416-423, February 1992.
6. David E. Goldberg, “Genetic Algorithms in Search, Optimization, and Machine Learning", Pearson Education Singapore Pte Ltd, 1989.m
7. Mitsuo Gen, Runwei Cheng, “Genetic Algorithm and Engineering Optimization", John Wiley and Sons Inc., 2000.