Particle Swarm Optimization Applications to Static Security Enhancement Using Multi Type Facts Devices


	Journal of Artificial Intelligence
	Year: 2008 \| Volume: 1 \| Issue: 1 \| Page No.: 34-43 DOI: 10.3923/jai.2008.34.43

Particle Swarm Optimization Applications to Static Security Enhancement Using Multi Type Facts Devices

S. Sutha and N. Kamaraj

Abstract: This study presents the application of particle swarm optimization algorithm to find the optimal location of multi type FACTS devices in a power system in order to eliminate or alleviate the line over loads. The optimizations are performed on the parameters, namely, the location of the devices, their types, their settings and installation cost of FACTS devices for double contingencies. The selection of UPFC and TCSC suitable location uses the criteria on the basis of improved system security. The effectiveness of the proposed method is tested for IEEE 6 bus and IEEE 30 bus test systems.

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How to cite this article:

S. Sutha and N. Kamaraj , 2008. Particle Swarm Optimization Applications to Static Security Enhancement Using Multi Type Facts Devices. Journal of Artificial Intelligence, 1: 34-43.

DOI: 10.3923/jai.2008.34.43

URL: https://scialert.net/abstract/?doi=jai.2008.34.43

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