Multi-objective fuzzy adaptive PSO for placement of AVRs considering DGs

Author

Jabbari, Masoud ; Niknam, Taher ; Hosseinpour, Hossein

Author_Institution

Dept. of Electr. Eng., Islamic Azad Univ., Marvdasht, Iran

Volume

2

fYear

2011

fDate

8-9 Sept. 2011

Firstpage

403

Lastpage

406

Abstract

In this paper, placement of Automatic Voltage Regulators (AVRs) in distribution systems at presence of distributed generators (DGs) by a multi-objective fuzzy adaptive particle swarm optimization (FAPSO) algorithm is proposed. AVRs help to reduce energy losses, to improve energy quality of electric utilities and to compensate voltage drops through distribution lines in distribution systems. In order to help electric companies in the decision-making process, it is necessary to find the optimal location of AVRs in distribution systems. The objectives that are considered consist of energy generation costs, electrical energy losses and the voltage deviations. The best solution is obtained by using the max-min operator. Finally, the obtained results are compared with other evolutionary algorithms.

Keywords

distribution networks; particle swarm optimisation; power system control; voltage regulators; AVR; automatic voltage regulators; decision-making; distributed generators; distribution lines; distribution systems; electric companies; multi-objective fuzzy adaptive particle swarm optimization algorithm; Capacitors; Generators; Load flow; Optimization; Particle swarm optimization; Regulators; Voltage control; adaptive particle swarm optimization; automatic voltage regulator; multi-objective;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Automation Conference (PEAM), 2011 IEEE

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9691-4

Type

conf

DOI

10.1109/PEAM.2011.6134970

Filename

6134970