Title :
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
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;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2011 5th International
Conference_Location :
Shah Alam, Selangor
Print_ISBN :
978-1-4577-0355-3
DOI :
10.1109/PEOCO.2011.5970434
