Islanding detection in distribution system embedded with renewable-based distributed generation

dc.contributor.advisorIbrahim, Walid Morsi
dc.contributor.authorTalwar, Saurabh
dc.date.accessioned2013-01-04T21:14:24Z
dc.date.accessioned2022-03-29T16:33:46Z
dc.date.available2013-01-04T21:14:24Z
dc.date.available2022-03-29T16:33:46Z
dc.date.issued2012-12-01
dc.degree.disciplineAutomotive Engineering
dc.degree.levelMaster of Applied Science (MASc)
dc.description.abstractClassical view of power system is characterized by a unidirectional power flow from centralized generation to consumers. Power system deregulation gave impetus to a modern view by introducing distributed generations (DGs) into distribution systems, leading to a bi-directional power flow. Several benefits of embedding DGs into distribution systems, such as increased reliability and reduced system losses, can be achieved. However, when a zone of the distribution system remains energized after being disconnected from the grid, DGs become islanded and early detection is needed to avoid several operational issues. In response to this call, a wavelet-based approach that uses the mean voltage index is proposed in this work to detect islanding operation in distribution systems embedding DGs. The proposed approach has been tested in several islanding and non-islanding scenarios using IEEE 13-bus distribution system. The results have shown the effectiveness of the proposed approach compared to other islanding approaches previously published in the literature.en
dc.description.sponsorshipUniversity of Ontario Institute of Technologyen
dc.identifier.urihttps://hdl.handle.net/10155/290
dc.language.isoenen
dc.subjectPower systemen
dc.subjectDeregulationen
dc.subjectUnidirectional power flowen
dc.subjectDistributed generationsen
dc.subjectDGsen
dc.subjectBi-directional power flowen
dc.titleIslanding detection in distribution system embedded with renewable-based distributed generationen
dc.typeThesisen
thesis.degree.disciplineAutomotive Engineering
thesis.degree.grantorUniversity of Ontario Institute of Technology
thesis.degree.nameMaster of Applied Science (MASc)

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Talwar_Saurabh.pdf
Size:
1.91 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.61 KB
Format:
Plain Text
Description: