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Optimal Power Flows with Security Constraints using Multi Agent based PSO Algorithms by Optimal Placement of Multiple SVCS

by K. Ravi Kumar, S. Anand, M. Sydulu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 10
Year of Publication: 2012
Authors: K. Ravi Kumar, S. Anand, M. Sydulu
10.5120/8240-1514

K. Ravi Kumar, S. Anand, M. Sydulu . Optimal Power Flows with Security Constraints using Multi Agent based PSO Algorithms by Optimal Placement of Multiple SVCS. International Journal of Computer Applications. 52, 10 ( August 2012), 29-37. DOI=10.5120/8240-1514

@article{ 10.5120/8240-1514,
author = { K. Ravi Kumar, S. Anand, M. Sydulu },
title = { Optimal Power Flows with Security Constraints using Multi Agent based PSO Algorithms by Optimal Placement of Multiple SVCS },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 10 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 29-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number10/8240-1514/ },
doi = { 10.5120/8240-1514 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:51:56.069337+05:30
%A K. Ravi Kumar
%A S. Anand
%A M. Sydulu
%T Optimal Power Flows with Security Constraints using Multi Agent based PSO Algorithms by Optimal Placement of Multiple SVCS
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 10
%P 29-37
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper puts forward the implementation of multiagent based PSO algorithms (TDLSMADSO & CLSMAPSO) to obtain the optimal power flows by optimally placing SVC devices. The static var compensator (SVC) is modeled using susceptance model with modifications in the Y bus of the Newton Raphson Algorithm. The constraints related to violation limits, minimization of voltage stability index, and line loss are dealt using penalty factor approach. The new multi agent based cubic lattice and two dimensional lattice structured based PSO algorithms were considered for optimizing power flows while satisfying all the constraints mentioned above. These algorithms were tested on IEEE 30 and IEEE 14 bus systems to identify the suitable location, its susceptance value and firing angle. The results obtained were quite encouraging and will be useful in electrical restructuring.

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Index Terms

Computer Science
Information Sciences

Keywords

Multi agent systems Optimization techniques Particle swarm optimization Optimal power flows security constraints