Graduate Studies
Islanding Detection of Grid Connected Distributed Generation Resources Using Symmetrical Components
Abstract
dc:description.abstractOne of the most challenging problems in distribution network is islanding detection, since it causes serious problems for equipment connected to the network, specially distributed generators (DG). Network fluctuations occurring at different situations impact the accuracy of islanding detection method. The proposed islanding detection method is based on the well-known theory of symmetrical components. Single variable threshold limit for islanding detection leads to incorrect results. As a result, a new mathematical formula with more than one variable has been implemented. In this dissertation, islanded and normal operations have been distinguished by connecting and disconnecting different types of loads, tripping of other DG and applying both symmetric and asymmetric faults at different location on the distribution system. The proposed method has been simulated for various operating conditions, and the results verify that the proposed method correctly detects the islanding operation and does not mal-operate.
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MSc)
- Discipline thesis:degree_discipline
- Electrical and Computer Engineering
- Grantor dc:publisher.institution
- Graduate Studies
- Year dc:date.issued
- 2013
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Tiwari, Prashant
- Advisor dc:contributor.advisor
-
- Malik, Om
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- OAI identifier oai:identifier
- oai:ucalgary.scholaris.ca:11023/1118