PSO based transmission network expansion planning

Author

Simo, A. ; Barbulescu, C. ; Kilyeni, St ; Deacu, A.

Author_Institution

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

fYear

2014

fDate

13-16 April 2014

Firstpage

520

Lastpage

525

Abstract

The transmission network expansion planning (TNEP) problem is tackled within this paper. The TNEP study is approached for a real power system designed based on the Western and South-Western parts of the Romanian Power System. The study is performed considering 3 consumed power evolution scenarios and power transfers. The complete a.c. power flow computing mathematical model has been applied. To solve this problem the particle swarm optimization (PSO) technique (artificial intelligence field) is used. Few practical considerations are presented, followed by the developed software tool. The results are discussed in details for one case and for the other two cases, they are summarized.

Keywords

load flow; particle swarm optimisation; power transmission planning; PSO based transmission network expansion planning; Romanian Power System; TNEP; a.c. power flow; mathematical model; particle swarm optimization; power transfers; real power system; Coils; Load flow; Optimization; Sociology; Statistics; Substations; (auto)transformer; expansion planning; mathematical model; optimization; overhead line; power system; software tool;

fLanguage

English

Publisher

ieee

Conference_Titel

Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE

Conference_Location

Beirut

Type

conf

DOI

10.1109/MELCON.2014.6820589

Filename

6820589