Fault Zone Classifier Performance Improvement of PMU-Enabled Distribution System Through Feature Engineering
Paper number
1998
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Sta. Cruz, Anton Domini, University of the Philippines, Philippines
Pedrasa, Michael Angelo, University of the Philippines, Philippines
Dobbe, Roel, University of California Berkeley, USA
Pedrasa, Michael Angelo, University of the Philippines, Philippines
Dobbe, Roel, University of California Berkeley, USA
Abstract
Fault localization algorithms are prone to multiple estimates on most distribution networks due to their tree-shaped radial topology. To address this problem, localization may be supported by the identification of network section or zone where the fault occurred. This study aims to explore the development of fault zone classifiers that exploit the phase angle information given by phasor measurement units (PMUs) through feature engineering. Results show that the PMU angle information contributes to better clustering of different fault zones in the feature space which leads to better classification performance. Also, the study demonstrated the effectiveness of further improving the classifier performance through feature engineering. Analysis of a developed fault zone classifier was also performed to understand the characteristics of the misclassified fault instances.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/681
http://dx.doi.org/10.34890/901
http://dx.doi.org/10.34890/901
ISSN
2032-9644
ISBN
978-2-9602415-0-1