Title :
Multi-objective using Artificial Bee Colony optimization for distributed generation placement on power system
Author :
Johan, Nur Fairuz Mohd ; Azmi, Azralmukmin ; Rashid, M.A. ; Yaakob, Shamsul Bahar ; Rahim, Siti Rafidah Abdul ; Zali, Samila Mat
Author_Institution :
Sch. of Electr. Syst. Eng., Univ. Malaysia Perlis, Arau, Malaysia
fDate :
Nov. 29 2013-Dec. 1 2013
Abstract :
This paper presents a multi-objective performance index based on the size and location of distributed generation (DG) in power system with difference preference of weightages. The placement and sizing of DG are selected optimally by technique of optimization. The technique of Artificial Bee Colony (ABC) algorithm has been studied to solve this problem. The algorithm is tested on standard IEEE 69 bus distribution system.
Keywords :
IEEE standards; ant colony optimisation; distributed power generation; IEEE 69 bus distribution system; artificial bee colony optimization technique; distributed generation placement; multiobjective performance index; power system; Annealing; Generators; IP networks; Indexes; Power systems; Silicon; Tin; Artificial Bee Colony algorithm; Distributed generation; Multi-objective optimization; Power system;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
Conference_Location :
Mindeb
Print_ISBN :
978-1-4799-1506-4
DOI :
10.1109/ICCSCE.2013.6719943
