Title :
Optimal placement and location of distributed generators in distorted distribution system
Author :
Kavitha, D. ; Renuga, P. ; Priya, S. Muthamil
Author_Institution :
Thiagarajar Coll. of Eng., Madurai, India
Abstract :
In this paper, an approach using Hybrid Genetic Algorithm and Particle Swarm Optimization Search (HGAPSO) is proposed for placing Distributed Generators (DGs) in distorted distribution system. The objective is to reduce the real power loss and average voltage total harmonic distortion (THDv) of the distorted distribution system. A detailed performance analysis is carried out on IEEE 18 bus system to express the effectiveness of the proposed method.
Keywords :
distributed power generation; distribution networks; genetic algorithms; harmonic distortion; particle swarm optimisation; power generation planning; power system harmonics; HGAPSO; IEEE 18 bus system; distorted distribution system; distributed generators; hybrid genetic algorithm; optimal placement; particle swarm optimization search; power loss; voltage total harmonic distortion; Genetic algorithms; Harmonic analysis; Linear programming; Load flow; Optimization; Sociology; Statistics; Distributed generation (DG); genetic algorithm (GA); harmonic distortion; multi objective optimization; non linear programming;
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
Print_ISBN :
978-1-4799-2395-3
DOI :
10.1109/ICCPCT.2014.7055034
