PSO based OPF algorithm

Author

Cristian, Dan Petru ; Teslovan, R. ; Barbulescu, C. ; Kilyeni, St ; Simo, A.

Author_Institution

Power Syst. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania

fYear

2013

fDate

1-4 July 2013

Firstpage

1235

Lastpage

1243

Abstract

Nowadays there is a huge interest in developing new approaches for power system related problem solving. Generally, (meta)heuristic search methods are considered a good alternative to conventional ones. This paper aims to elaborate an original mathematical model focused on particle swarm optimization (PSO) applied for optimal power flow computing (OPF). Several practical issues are presented. One test power system is used as case study. Additionally, the algorithm developed is also applied for a real power system. It refers to the Western and South-Western side of the Romanian Power System. Further, it is intended to be used for transmission expansion planning.

Keywords

optimal systems; particle swarm optimisation; power engineering computing; power systems; PSO based OPF algorithm; Romanian power system; mathematical model; metaheuristic search methods; optimal power flow computing; particle swarm optimization; power system related problem solving; transmission expansion planning; Integrated circuits; Linear programming; Load flow; Mathematical model; Minimization; Optimization; complex power systems; mathematical model; optimal power flow; particle swarm optimization; software;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON, 2013 IEEE

Conference_Location

Zagreb

Print_ISBN

978-1-4673-2230-0

Type

conf

DOI

10.1109/EUROCON.2013.6625138

Filename

6625138