MOPSO algorithm for distributed generator allocation

Author

Molazei, Sara ; Ghazizadeh-Ahsaee, Mahdi

Author_Institution

Dept. of Electical Eng., Zabol Univ., Zabol, Iran

fYear

2013

Firstpage

1340

Lastpage

1345

Abstract

Decentralized generation will become more and more important in the future electricity distribution system. This tendency is increased by promising solution to many power system problems such as voltage regulation, power loss, etc. This paper presents a new methodology using Multi-Objective Particle Swarm Optimization (MOPSO) for the placement of Distributed Generators (DG) in the radial distribution systems to find the size and number of the DGs corresponding to maximum loss reduction and reduce capital and operational DG costs and to improve the voltage profile. The proposed method is tested on standard IEEE 33-bus test system and the results are presented and encouraging results are obtained.

Keywords

distributed power generation; particle swarm optimisation; IEEE 33-bus test system; MOPSO algorithm; capital reduction; distributed generator allocation; electricity distribution system; maximum loss reduction; multiobjective particle swarm optimization; operational DG costs; power loss; power system problems; radial distribution systems; voltage profile; voltage regulation; Linear programming; Optimization; Power engineering; Reactive power; Sociology; Statistics; Vectors; DG placement; Loss reduction; MOPSO; Multi-Objective Optimization; Radial distribution system;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on

Conference_Location

Istanbul

ISSN

2155-5516

Type

conf

DOI

10.1109/PowerEng.2013.6635808

Filename

6635808