Title :
Comparative study of heuristic algorithm ABC and GA considering VPI for network reconfiguration
Author :
Sulaima, M.F. ; Mohamad, M.F. ; Jali, M.H. ; Bukhari, W.M. ; Baharom, Mohd Faizal
Author_Institution :
Fac. of Electr. Eng., Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
Abstract :
Distribution Network Reconfiguration (DNR) is an important part of power distribution automotive system. In order to improve the system security as well as minimize the power losses in the system; it can be done by considering a DNR with the superlative optimization method. This paper presents the comparison study of two heuristic methods which are Artificial Bee Colony (ABC) and Genetic Algorithm (GA). Their performance and impact in terms of Voltage Profile Improvement (VPI) and power loss in the network system are investigated. The effectiveness of both methods will be tested in an IEEE 33-bus system. The analysis of the results is hope to help the researchers in improving the voltage profile and expands the system security in the future.
Keywords :
ant colony optimisation; distribution networks; genetic algorithms; power system security; IEEE 33-bus system; artificial bee colony; distribution network reconfiguration; genetic algorithm; heuristic algorithm ABC; power distribution automotive system; superlative optimization method; voltage profile improvement; Biological cells; Conferences; Genetic algorithms; Optimization methods; Partitioning algorithms; Power engineering;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-2421-9
DOI :
10.1109/PEOCO.2014.6814422
