Applying BCO algorithm to solve the optimal DG placement and sizing problem

Author

Sohi, Mohammad Falahi ; Shirdel, Morteza ; Javidaneh, Ali

Author_Institution

Islamic Azad Univ. South Tehran, Tehran, Iran

fYear

2011

fDate

6-7 June 2011

Firstpage

71

Lastpage

76

Abstract

In this paper, the problem of DG placement and sizing for loss reduction and line capacity improvement, has been considered and evaluated. In order to solve the optimization problem, authors are using the novel and heuristic BCO algorithm. This algorithm is inspired of the intelligent behavior of bees during the nectar search process. Finally, the results of applying the Bee Colony Optimization algorithm for DG placement and sizing in IEEE 33 nodes test network are shown.

Keywords

distributed power generation; optimisation; power generation planning; BCO algorithm; IEEE 33 nodes test network; bee colony optimization; distributed generation sizing problem; line capacity improvement; loss reduction; nectar search process; optimal distributed generation placement; Distributed power generation; Genetic algorithms; Indexes; Insects; Optimization; Power engineering; Reliability; Bee Colony Optimization; Distributed Generation; Line Capacity Improvement; Loss Reduction; Placement;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Optimization Conference (PEOCO), 2011 5th International

Conference_Location

Shah Alam, Selangor

Print_ISBN

978-1-4577-0355-3

Type

conf

DOI

10.1109/PEOCO.2011.5970434

Filename

5970434