Learning Distribution Grid Topologies: A Tutorial

Author:

Deka Deepjyoti1ORCID,Kekatos Vassilis2ORCID,Cavraro Guido3ORCID

Affiliation:

1. Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA

2. Bradley Department of ECE, Virginia Tech, Blacksburg, VA, USA

3. National Renewable Energy Laboratory, Golden, CO, USA

Funder

U.S. National Science Foundation

Laboratory Directed Research and Development Grants at Los Alamos National Laboratory

National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy

National Nuclear Security Administration of the U.S. Department of Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Line Parameter and Topology Estimation using a Deep Neural Network with Learnable Priors;2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE);2023-12-17

2. Tractable Identification of Electric Distribution Networks;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Detection of Cyber Attacks on Synchro-Phasor Network Targeting Topology Detection Application of Power Distribution Grids;2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm);2023-10-31

4. Parameter Estimation in Electrical Distribution Systems with limited Measurements using Regression Methods;2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE);2023-10-23

5. Graph Algorithms for Topology Identification in Electrical Medium Voltage Grids;2023 58th International Universities Power Engineering Conference (UPEC);2023-08-30

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