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

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

Content Provider	Semantic Scholar
Author	Kumar, K. M. Ravi Anand, Sneh Sydulu, Maheswarapu
Copyright Year	2012
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. General Terms Multi agent systems, Particle swarm optimization, Optimal power flows, security constraints, Static VAR compensator, FACTS (Flexible AC transmission systems)
Starting Page	29
Ending Page	37
Page Count	9
File Format	PDF HTM / HTML
DOI	10.5120/8240-1514
Volume Number	52
Alternate Webpage(s)	http://research.ijcaonline.org/volume52/number10/pxc3881514.pdf
Alternate Webpage(s)	https://doi.org/10.5120/8240-1514
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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