A new technique for the reconfiguration of radial distribution network for loss minimization
Over 50 years Malaysia is using the same power transmission channel from the colonial of the British. It is very old and needs some improvement especially in distribution network system. An increment of load demand and losses occurrences in distribution network system have worsen the existing con...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Engg Journals Publications
2014
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/14372/1/2014_Journal_IJETA_new_technique_for_the_reconfiguration_of.pdf http://eprints.utem.edu.my/id/eprint/14372/ http://www.enggjournals.com/ijet/docs/IJET14-06-05-134.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Over 50 years Malaysia is using the same power transmission channel from the colonial of
the British. It is very old and needs some improvement especially in distribution network system. An
increment of load demand and losses occurrences in distribution network system have worsen the existing
condition. Pertaining to that, a reconfiguration of the distribution network is introduced to resolve the
problem. In this paper, a new technique called as Improved Genetic Algorithm (IGA) for reconfiguring
distribution network simultaneously implemented with the placement of small scale power generation or
Distributed Generation (DG) is presented. Both conventional and improved genetic algorithms are
employed within parameter constraint to be significantly compared in response to power losses and
voltage profile performances. The algorithm process is initially started with the search solution for the
best switching combinations throughout 33 IEEE distribution bus systems. The results convey a better
improvement in performance of the improved method compared with the genetic algorithm (GA). |
|---|