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Optimal Placement of TCSC for Congestion Management using Modified Particle Swarm Optimization

by Manasarani Mandala, C. P. Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 11
Year of Publication: 2014
Authors: Manasarani Mandala, C. P. Gupta
10.5120/15400-4073

Manasarani Mandala, C. P. Gupta . Optimal Placement of TCSC for Congestion Management using Modified Particle Swarm Optimization. International Journal of Computer Applications. 88, 11 ( February 2014), 34-40. DOI=10.5120/15400-4073

@article{ 10.5120/15400-4073,
author = { Manasarani Mandala, C. P. Gupta },
title = { Optimal Placement of TCSC for Congestion Management using Modified Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 11 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number11/15400-4073/ },
doi = { 10.5120/15400-4073 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:23.200256+05:30
%A Manasarani Mandala
%A C. P. Gupta
%T Optimal Placement of TCSC for Congestion Management using Modified Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 11
%P 34-40
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In a competitive power market, the task of an independent system operator (ISO) is to ensure full dispatches of the contracted power are carried out reliably. However, if it threatens the system security then ISO makes decision on the re-dispatch of the contracted power i. e. , Congestion Management (CM). This paper proposes an optimal congestion management approach in a deregulated electricity market with optimal location of TCSC under Combined Economic Emission Dispatch Environment (CEED) using Particle Swarm optimization with Time Varying Acceleration Co-efficient (PSO-TVAC). Sensitivity factors are used to find the optimal location TCSC. After placing TCSC the investment cost of TCSC and generator rescheduling cost is minimized using Particle Swarm Optimization (PSO) and PSO-TVAC. Numerical results on test system, IEEE 30 bus and IEEE 118 bus systems are presented for illustration purpose and the results are compared with Particle swarm optimization (PSO) in terms of solution quality. The comprehensive experimental results prove that the PSO-TVAC is one among the challenging optimization methods which is indeed capable of obtaining higher quality solutions for the proposed problem.

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Index Terms

Computer Science
Information Sciences

Keywords

Congestion Management Cost of TCSC Voltage stability Particle Swarm optimization (PSO) Particle Swarm optimization with Time Varying Acceleration Co-efficient (PSO-TVAC).

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