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

Author

Bhowmik, Arup Ratan ; Chakraborty, Ajoy K. ; Das, Pritam

Author_Institution

Nat. Inst. Of Technol., Agartala, India

fYear

2012

fDate

19-22 Dec. 2012

Firstpage

1

Lastpage

5

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.

Keywords

flexible AC transmission systems; genetic algorithms; load flow control; particle swarm optimisation; power transmission control; FACTS devices; IEEE 14-bus power system; PSO; PSO algorithm; UPFC; active power loss minimization; fast optimization technique; genetic algorithm techniques; line loss sensitivity index; optimal location; particle swarm optimization; robust optimization technique; unified power flow controller; Genetic algorithms; Load flow; Minimization; Power system stability; Reactive power; Sensitivity; Sociology; GA; PSO; UPFC; active power loss minimization; flexible AC transmission systems (FACTS); loss sensitivity index;

fLanguage

English

Publisher

ieee

Conference_Titel

Power India Conference, 2012 IEEE Fifth

Conference_Location

Murthal

Print_ISBN

978-1-4673-0763-5

Type

conf

DOI

10.1109/PowerI.2012.6479489

Filename

6479489