Publication:
Determining optimal location and size of capacitors in radial distribution networks using moth swarm algorithm

dc.contributor.author Thanh Long Duong
dc.contributor.author Thuan Thanh Nguyen
dc.contributor.author Van-Duc Phan
dc.contributor.author Thang Trung  Nguyen
dc.date.accessioned 2022-11-04T03:54:08Z
dc.date.available 2022-11-04T03:54:08Z
dc.date.issued 2020
dc.description.abstract In this study, the problem of optimal capacitor location and size determination (OCLSD) in radial distribution networks for reducing losses is unraveled by moth swarm algorithm (MSA). MSA is one of the most powerful meta-heuristic algorithm that is taken from the inspiration of the food source finding behavior of moths. Four study cases of installing different numbers of capacitors in the 15-bus radial distribution test system including two, three, four and five capacitors areemployed to run the applied MSA for an investigation of behavior and assessment of performances. Power loss and the improvement of voltage profile obtained by MSA are compared with those fromother methods. As a result, it can be concluded that MSA can give a good truthful and effective solution method for OCLSD problem.
dc.identifier.doi 10.11591/ijece.v10i5.pp4514-4521
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/920
dc.language.iso en_US
dc.relation.ispartof International Journal of Electrical and Computer Engineering (IJECE)
dc.relation.issn 2722-2578
dc.relation.issn 2088-8708
dc.subject "Modified moth swarm algorithm
dc.subject Optimal location
dc.subject Optimal size
dc.subject Radial distribution network"
dc.title Determining optimal location and size of capacitors in radial distribution networks using moth swarm algorithm
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 5
oaire.citation.volume 10
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
AS458.pdf
Size:
592.76 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: