NDLI: Optimal location of UPFC based on PSO algorithm considering active power loss minimization

Content Provider	IEEE Xplore Digital Library
Author	Bhowmik, A.R. Chakraborty, A.K. Das, P.
Copyright Year	2012
Description	Author affiliation: National Institute Of Technology Agartala, India (Bhowmik, A.R.; Chakraborty, A.K.; Das, P.)
Abstract	In this paper Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) techniques has been used for active power loss minimization through optimally placing the Unified Power Flow Controller (UPFC) in the power system network. Two objective functions are taken as the indexes of the system performance; identification of suitable buses using line loss sensitivity index and minimization of active power losses by employing PSO and GA techniques. For the validation and comparison purposes of the proposed techniques, simulations are carried out on modified IEEE 14-bus power system. The results obtained shows that PSO is an easy to use, robust and fast optimization technique compared to GA.
Starting Page	1
Ending Page	5
File Size	644588
Page Count	5
File Format	PDF
ISBN	9781467307635
e-ISBN	9781467307666
DOI	10.1109/PowerI.2012.6479489
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system stability flexible AC transmission systems (FACTS) Minimization PSO Genetic algorithms Load flow Reactive power Sensitivity Sociology loss sensitivity index active power loss minimization GA UPFC
Content Type	Text
Resource Type	Article

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