Title :
Electrical network power quality improvement through distributed generation optimum placement based on Breeder Genetic Algorithm method
Author_Institution :
Dept. of Electr. Eng., Hasanuddin Univ., Makassar, Indonesia
Abstract :
This paper discussed about electrical network power quality improvement through distributed generation (DG) optimum placement. The objective of DG placement was power losses reduction. The optimization was conducted with Breeder Genetic Algorithm (BGA) method. The simulation result showing that BGA method generated 3.9885 MW or 22.1863 % power losses reduction.
Keywords :
distributed power generation; genetic algorithms; power supply quality; BGA method; DG optimum placement; breeder genetic algorithm method; distributed generation optimum placement; electrical network power quality improvement; power 3.9885 MW; power losses reduction; Biological cells; Lead; Optimization; breeder genetic algorithm (BGA); distributed generation (DG); power losses reduction; power quality;
Conference_Titel :
Electrical Engineering and Informatics (MICEEI), 2014 Makassar International Conference on
Print_ISBN :
978-1-4799-6725-4
DOI :
10.1109/MICEEI.2014.7067302
