A combination of Genetic Algorithm and Particle Swarm Optimization for optimal DG location and sizing in distribution systems

Author

Moradi, M.H. ; Abedinie, M.

Author_Institution

Dept. of Electr. Eng., Univ. of Bu Ali Sina, Hamadan, Iran

fYear

2010

fDate

27-29 Oct. 2010

Firstpage

858

Lastpage

862

Abstract

Distributed Generation (DG) sources are becoming more prominent in distribution systems due to increased demand for the electrical energy. The locations and capacities of DG sources will have an impact on system losses of distribution network. In this paper, a novel hybrid Genetic Algorithm (GA) / Particle Swarm Optimization (PSO) for solving the problem of optimal location and sizing of DG on distributed systems is presented. The objective is to minimize network power loss and better voltage regulation with in frame-work of system operational and security constraints in the radial distribution systems. A detailed performance analysis is carried out on 33 bus system to demonstrate the effectiveness of the proposed methodology.

Keywords

distributed power generation; genetic algorithms; particle swarm optimisation; power distribution; power system security; distributed generation sources; distribution systems; electrical energy; hybrid genetic algorithm; optimal DG location; optimal sizing; particle swarm optimization; system operational constraints; system security constraints; voltage regulation; Distributed power generation; Gallium; Genetic algorithms; Load flow; Optimization; Particle swarm optimization; Distributed generation; Genetic algorithm; Losses; Particle swarm optimization; Placement;

fLanguage

English

Publisher

ieee

Conference_Titel

IPEC, 2010 Conference Proceedings

Conference_Location

Singapore

ISSN

1947-1262

Print_ISBN

978-1-4244-7399-1

Type

conf

DOI

10.1109/IPECON.2010.5697086

Filename

5697086