A novel deep learning architecture for distribution system topology identification with missing PMU measurements

A novel deep learning architecture for distribution system topology identification with missing PMU measurements

With the increased penetration of distributed energy resources (DERs) in the distribution networks, it is critical to accurately identify the topology in real time. However, the loss of physical measurements due to meter failures or denial of service (DoS) attacks on communication channels creates t...

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Bibliographic Details
Main Authors: Y Raghuvamsi, Kiran Teeparthi, Vishalteja Kosana
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Results in Engineering
Subjects:
Topology identification
Attention
PMUs
Informer
Missing data
Voltage measurements
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123022002134

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http://www.sciencedirect.com/science/article/pii/S2590123022002134

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