Title :
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
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;
Conference_Titel :
EUROCON, 2013 IEEE
Conference_Location :
Zagreb
Print_ISBN :
978-1-4673-2230-0
DOI :
10.1109/EUROCON.2013.6625138