Precise PMU-Based Localization and Classification of Short-Circuit Faults in Power Distribution Systems
Author:
Affiliation:
1. Department of Communication Systems, Jožef Stefan Institute, Ljubljana, Slovenia
2. Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia
Funder
Javna Agencija za Raziskovalno Dejavnost RS
European Association of National Metrology Institutes
European Commission
I-NERGY
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/61/10261337/10106028.pdf?arnumber=10106028
Reference28 articles.
1. Real-Time Faulted Line Localization and PMU Placement in Power Systems Through Convolutional Neural Networks
2. Fault Detection and Faulted Line Identification in Active Distribution Networks Using Synchrophasors-Based Real-Time State Estimation
3. Improved Fault Location on Distribution Feeders Based on Matching During-Fault Voltage Sags
4. Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation
5. Anomaly Detection, Localization and Classification Using Drifting Synchrophasor Data Streams
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