Title :
Optimal Location of Distributed Generation Using Intelligent Optimization
Author :
Haidar, Ahmed M A
Author_Institution :
Univ. Malaysia Pahang, Kuantan, Malaysia
Abstract :
This paper proposes a method for optimal placement of DG based on intelligent optimization technique namely particle swarm optimization (PSO). Electrical system loss is used as an index of the proper location and sizing considering the DG bus voltage limit. The results show a significant reduction in power losses and considerable voltage improvement of the IEEE-30 bus test system.
Keywords :
distributed power generation; particle swarm optimisation; IEEE-30 bus test system; distributed generation; electrical system loss; intelligent optimization; optimal location; particle swarm optimization; Artificial intelligence; Distributed power generation; Optimization; Particle swarm optimization; Power systems; Propagation losses; Resource management; Distributed generation; Power losses; intelligent optimization;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4577-2068-0
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2011.143
