An Improved Algorithm for Topology Identification of Distribution Networks Using Smart Meter Data and Its Application for Fault Detection-Reference-Cited by-同舟云学术

An Improved Algorithm for Topology Identification of Distribution Networks Using Smart Meter Data and Its Application for Fault Detection

Published:2023-09 Issue:5 Volume:14 Page:3850-3861
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Flynn Cassidy¹,Pengwah Abu Bakr¹^ORCID,Razzaghi Reza²^ORCID,Andrew Lachlan L. H.³^ORCID

Affiliation:

1. Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC, Australia

2. Monash University and ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications, Melbourne, VIC, Australia

3. School of Computing and Information Systems and the ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications, University of Melbourne, Melbourne, VIC, Australia

Funder

Centre for New Energy Technologies

Australian Government Research Training Program (RTP) Scholarship

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/10226523/10025832.pdf?arnumber=10025832

Reference25 articles.

1. A data driven approach to distribution network topology identification

2. Distribution Grid Modeling Using Smart Meter Data

3. Learning latent tree graphical models;choi;J Mach Learn Res,2011

4. Learning With End-Users in Distribution Grids: Topology and Parameter Estimation

5. Guaranteed Phase & Topology Identification in Three Phase Distribution Grids

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