This paper is published in Volume-3, Issue-2, 2017
Area
Power Systems
Author
A. Arulvizhi, B. Balaji, G. Balambigai
Org/Univ
CK College Of Engineering & Technology, Cuddalore, Tamil Nadu, India
Keywords
Radial Distribution Networks, DG Units, Biogeography Based Optimization.
Citations
IEEE
A. Arulvizhi, B. Balaji, G. Balambigai. Intelligent Methods used for Placement of Distributed Generation Units in Distribution Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
A. Arulvizhi, B. Balaji, G. Balambigai (2017). Intelligent Methods used for Placement of Distributed Generation Units in Distribution Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.
MLA
A. Arulvizhi, B. Balaji, G. Balambigai. "Intelligent Methods used for Placement of Distributed Generation Units in Distribution Networks." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.
A. Arulvizhi, B. Balaji, G. Balambigai. Intelligent Methods used for Placement of Distributed Generation Units in Distribution Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
A. Arulvizhi, B. Balaji, G. Balambigai (2017). Intelligent Methods used for Placement of Distributed Generation Units in Distribution Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARIIT.com.
MLA
A. Arulvizhi, B. Balaji, G. Balambigai. "Intelligent Methods used for Placement of Distributed Generation Units in Distribution Networks." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2017). www.IJARIIT.com.
Abstract
Distributed generation (DG) plays a significant role in reducing real power loss, lowering the operating cost and improving the voltage profile. This paper formulates the DG placement problem a combined objectives as individual objectives and presents a solution method for optimally determining the bus locations and sizing of multiple DG units in distribution networks using biogeography-based optimization (BBO). BBO, inspired from the geographical distribution of biological species, searches for an optimal solution through the migration and mutation operators. Test results on a 33-node distribution network reveal the superiority of the developed method.