Performance analysis of different search algorithms in optimization of power system operation

Author

Ahsan, Md Alimul ; Rakiul Islam, S.M. ; Ghosh, Bashudeb Chandra

Author_Institution

Dept. of Electr. & Electron. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh

fYear

2014

fDate

10-12 April 2014

Firstpage

1

Lastpage

6

Abstract

A Flexible AC Transmission System (FACTS) device such as Static Var Compensator (SVC) in a power system improves the voltage profile, reduces power loss and overall cost of the system. To find optimal location and size of the FACTS device, different search algorithms are used. This study focuses on the comparative performance analysis of Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) algorithm to find optimal location and rated value of SVC for the purpose of optimizing total power loss, total cost and improving voltage profile of the power system. Algorithms´ computational efficiency is also investigated. To show validity of the proposed techniques, simulations are carried out on IEEE 14 bus and IEEE 57 bus.

Keywords

ant colony optimisation; flexible AC transmission systems; genetic algorithms; particle swarm optimisation; search problems; static VAr compensators; ACO algorithm; FACTS device; GA; IEEE 14 bus; IEEE 57 bus; PSO; SVC; algorithm computational efficiency; ant colony optimization; flexible AC transmission system; genetic algorithm; particle swarm optimization; performance analysis; power loss optimization; power loss reduction; power system operation optimization; search algorithms; static Var compensator; voltage profile; Algorithm design and analysis; Genetic algorithms; Optimization; Power system stability; Sociology; Static VAr compensators; Statistics; Ant Colony Optimization (ACO); Genetic Algorithm (GA); Particle Swarm Optimization (PSO); Power System Optimization; Static Var Compensator (SVC);

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering and Information & Communication Technology (ICEEICT), 2014 International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4799-4820-8

Type

conf

DOI

10.1109/ICEEICT.2014.6919140

Filename

6919140