Power Loss Minimisation on 11kV Distribution Network using Feeder Reconfiguration
T. O. Ale and
I. O. Abumere
Additional contact information
T. O. Ale: Electrical and Electronics Engineering, School of Engineering and Engineering Technology, Federal University of Technology Akure, Ondo State
I. O. Abumere: Electrical and Electronics Engineering, School of Engineering and Engineering Technology, Federal University of Technology Akure, Ondo State
European Journal of Engineering and Technology Research, 2020, vol. 5, issue 1, 12-19
Abstract:
The Distribution System can be seen as the networking line that interfaces between the large power generators and transmission lines on one hand and the electricity consumers on the other. The system can exist in different topologies among which, the radial form is popular because of its simplicity and comparative low cost of design. The problem of poor power quality and instability has been a major power systems challenge especially in Nigeria. More reliable and stable power systems among other benefits can be enjoyed when system are optimized. Hence, this paper implements the feeder reconfiguration technique as an optimization procedure to minimize the technical losses on the Ondo Road 11kV Feeder Segment. MATLAB is employed to simulate the optimization process and the results showed that an average of 85.47% active power loss reduction on all phases is obtainable with the proposed technique leading to an estimated financial saving of ?639,999.75 per hour.
Keywords: Feeder Reconfiguration; Power System Optimization; Radial Distribution Network; Backward Forward Sweep (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/61333 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/61333/12328 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:5:y:2020:i:1:id:61333
DOI: 10.24018/ejeng.2020.5.1.1333
Access Statistics for this article
More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().