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Article:Particle Swarm Optimization Algorithm for Voltage Stability Enhancement by Optimal Reactive Power Reserve Management with Multiple TCSCs

by S.Sakthivel, Dr.D.Mary
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 3
Year of Publication: 2010
Authors: S.Sakthivel, Dr.D.Mary

S.Sakthivel, Dr.D.Mary . Article:Particle Swarm Optimization Algorithm for Voltage Stability Enhancement by Optimal Reactive Power Reserve Management with Multiple TCSCs. International Journal of Computer Applications. 11, 3 ( December 2010), 19-27. DOI=10.5120/1562-2090

@article{ 10.5120/1562-2090,
author = { S.Sakthivel, Dr.D.Mary },
title = { Article:Particle Swarm Optimization Algorithm for Voltage Stability Enhancement by Optimal Reactive Power Reserve Management with Multiple TCSCs },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 11 },
number = { 3 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 19-27 },
numpages = {9},
url = { },
doi = { 10.5120/1562-2090 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T19:59:40.614085+05:30
%A S.Sakthivel
%A Dr.D.Mary
%T Article:Particle Swarm Optimization Algorithm for Voltage Stability Enhancement by Optimal Reactive Power Reserve Management with Multiple TCSCs
%J International Journal of Computer Applications
%@ 0975-8887
%V 11
%N 3
%P 19-27
%D 2010
%I Foundation of Computer Science (FCS), NY, USA

A power system, during disturbances, is at risks of voltage instability due to insufficient reactive power reserves. Reactive power reserve management is a reliable indicator of voltage security of power networks. This paper proposes a Particle Swarm Optimization (PSO) based optimal reactive power reserve management task incorporating only one type of FACTS device. Optimal placement of multi type FACTS devices can naturally manage the reactive power reserves. But for large size power systems, this becomes a tedious work owing to the mathematical complexities and much time for obtaining the optimal results. Optimal location and parameter setting of multiple TCSCs is considered for an acceptable and suboptimal solution for reactive power reserve management. Particle swarm optimization technique optimizes the location and size of TCSCs.The effectiveness of the proposed work is tested for IEEE-30 Bus test system with multiple TCSC devices. It has also been observed that the proposed algorithm can be applied to larger systems and do not suffer with computational difficulties.

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Index Terms

Computer Science
Information Sciences


FACTS devices TCSC Reactive Power Reserve Management Particle Swarm Optimization Algorithm