Title :
Genetic algorithm power flow computing approach
Author :
Solomonesc, Florin ; Teslovan, Razvan ; Barbulescu, Constantin ; Kilyeni, Stefan ; Cristian, Petru Dan
Abstract :
There is a growing interest in finding new ways to solve power systems related problems. Heuristic search methods are considered a good alternative to conventional ones. The present work focuses on genetic algorithms (GA). A GA adapted for power flow solving is detailed. Some practical issues are presented.
Keywords :
genetic algorithms; heuristic programming; load flow; search problems; GA; genetic algorithm; heuristic search methods; power flow computing approach; power systems; Biological cells; Genetic algorithms; Load flow; Newton method; Sociology; Statistics; Genetic Algorithm (GA); adaptive mutation; mathematical model; power flow;
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2012 47th International
Conference_Location :
London
Print_ISBN :
978-1-4673-2854-8
Electronic_ISBN :
978-1-4673-2855-5
DOI :
10.1109/UPEC.2012.6398608
