Sulaima, Mohamad Fani and Mohd Fadhlan , Mohamad and Jali, Mohd Hafiz and Wan Daud, Wan Mohd Bukhari and Baharom, Mohamad Faizal (2014) A comparative study of optimization methods for 33kV distribution network feeder reconfiguration. International Journal of Applied Engineering Research, 9 (9). pp. 1169-1182. ISSN 0973-4562
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Abstract
Distribution Network Reconfiguration (DNR) has been a part of importance strategies in order to reduce the power losses in the electrical network system. Due to the increase of demand for the electricity and high cost maintenance, feeder reconfiguration has become more popular issue to discuss. In this paper, a comparative study has been made by using several optimization methods which are Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The objectives of this study are to compare the performance in terms of Power Losses Reduction (PLR), percentage of Voltage Profile Improvement (VPI), and Convergence Time (CT) while select the best method as a suggestion for future research. The programming has been simulated in MATLAB environment and IEEE 33-bus system is used for real testing. ABC method has shown the superior results in the analysis of two objectives function. The suggestion has been concluded and it is hoped to help the power system engineer in deciding a better feeder arrangement in the future.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Distribution network reconfiguration, artificial bee colony, particle swarm optimization, genetic algorithm, power losses reduction, voltage profile improvement, convergence time |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Electrical Engineering > Department of Industrial Power |
| Depositing User: | MOHAMAD FANI SULAIMA |
| Date Deposited: | 15 Jul 2014 08:04 |
| Last Modified: | 24 Jul 2023 11:20 |
| URI: | http://eprints.utem.edu.my/id/eprint/12894 |
| Statistic Details: | View Download Statistic |
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A Comparative Study of Optimization Methods for 33kV
Distribution Network Feeder Reconfiguration. (deposited 18 Apr 2014 09:49)
- A comparative study of optimization methods for 33kV distribution network feeder reconfiguration. (deposited 15 Jul 2014 08:04) [Currently Displayed]
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