Machine Learning-Based Fault Location for Smart Distribution Networks Equipped with Micro-PMU

Machine Learning-Based Fault Location for Smart Distribution Networks Equipped with Micro-PMU

Faults in distribution networks occur unpredictably, causing a threat to public safety and resulting in power outages. Automated, efficient, and precise detection of faulty sections could be a major element in immediately restoring networks and avoiding further financial losses. Distributed generati...

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Bibliographic Details
Main Authors: Hamid Mirshekali, Rahman Dashti, Ahmad Keshavarz, Hamid Reza Shaker
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
machine learning
support vector machine
fault section location
micro-phasor measurement units
neighborhood component analysis
Online Access:https://www.mdpi.com/1424-8220/22/3/945

Internet

https://www.mdpi.com/1424-8220/22/3/945

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