A Comparative Study of Optimization Methods for 33kV Distribution Network Feeder Reconfiguration
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. I...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Research India Publications
2014
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/12148/1/2014_-_A_Comparative_Study_of_Optimization_Methods_for_33kV.pdf http://eprints.utem.edu.my/id/eprint/12148/ http://www.ripublication.com |
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| Summary: | 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. |
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