Optimal Placement and Sizing of Distributed Generators in Unbalanced Distribution Systems Using Supervised Big Bang-Big Crunch Method

Author

Othman, M.M. ; El-Khattam, Walid ; Hegazy, Yasser G. ; Abdelaziz, Almoataz Y.

Author_Institution

Electr. Power & Machines Dept., Ain Shams Univ., Cairo, Egypt

Volume

30

Issue

2

fYear

2015

fDate

Mar-15

Firstpage

911

Lastpage

919

Abstract

This paper presents an efficient and fast-converging optimization technique based on a modification of the traditional big bang-big crunch method for optimal placement and sizing of voltage controlled distributed generators. The proposed algorithm deals with the optimization problems incorporating multiple distributed generators for the sake of power as well as energy loss minimization in balanced/unbalanced distribution systems. The proposed algorithm is implemented in MATLAB environment and tested on the 33-bus feeder system and the IEEE 37-node feeder. Validation of the proposed method is done via comparing the results with published results obtained from other competitive methods.

Keywords

distributed power generation; distribution networks; optimisation; voltage control; 33-bus feeder system; IEEE 37-node feeder; MATLAB environment; energy loss minimization; fast-converging optimization technique; multiple distributed generators; optimization problems; supervised big bang-big crunch method; unbalanced distribution systems; voltage controlled distributed generators; Convergence; Energy loss; Generators; Genetic algorithms; Optimization; Reactive power; Voltage control; Big bang-big crunch; distributed generators; energy loss; optimization;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2014.2331364

Filename

6847750