Comparative Study of Heuristic Algorithm ABC and GA Considering VPI for Network Reconfiguration

Sulaima, Mohamad Fani and Mohamad, Mohd Fadhlan and Jali, Mohd Hafiz and Wan Daud, Wan Mohd Bukhari and Baharom, Mohamad Faizal (2014) Comparative Study of Heuristic Algorithm ABC and GA Considering VPI for Network Reconfiguration. In: 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014), 24-25 March 2014, Langkawi, The Jewel of Kedah.

[img] PDF
2014-PEOCO_IEEE_Comparative_Study_of_Heuristic_Algorithm_ABC_and_GA_Considering_VPI_for_Network_Reconfiguration.pdf - Published Version
Restricted to Registered users only

Download (350kB) | Request a copy


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.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical Engineering > Department of Industrial Power
Date Deposited: 20 May 2014 04:56
Last Modified: 28 May 2015 04:25
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item