Title :
MOPSO algorithm for distributed generator allocation
Author :
Molazei, Sara ; Ghazizadeh-Ahsaee, Mahdi
Author_Institution :
Dept. of Electical Eng., Zabol Univ., Zabol, Iran
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;
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/PowerEng.2013.6635808
