Title :
Optimal power flow computing GA applications
Author :
Solomonesc, Florin ; Barbulescu, Constantin ; Kilyeni, Stefan ; Simo, Attila
Author_Institution :
Power Syst. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
Abstract :
Nowadays the artificial intelligence based methods applied in power systems are getting more and more field. The paper is focusing on genetic algorithms used for optimal power flow computing (OPF). It is a very important issue for power systems analysis field. The research work will be applied within a major research project referring to the transmission network expansion planning. Tw o case studies are presented, focusing on test power systems.
Keywords :
artificial intelligence; genetic algorithms; load flow; power engineering computing; power transmission planning; OPF; artificial intelligence; expansion planning; genetic algorithms; optimal power flow computing; power system analysis field; research project; transmission network; Biological cells; Genetic algorithms; Load flow; Sociology; Software tools; Statistics; genetic algorithms; power systems; software tool;
Conference_Titel :
Power Engineering Conference (UPEC), 2013 48th International Universities'
Conference_Location :
Dublin
DOI :
10.1109/UPEC.2013.6714929
