Gridtopo-GAN for Distribution System Topology Identification
Author:
Affiliation:
1. Department of Electrical Engineering and Research Institute For Smart Energy, The Hong Kong Polytechnic University, Hong Kong SAR, China
2. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China
Funder
SB2D, SB3D of The Hong Kong Polytechnic University
National Natural Science Foundation of China
Shanghai Science and Technology Commission Sailing Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10081096/09733216.pdf?arnumber=9733216
Reference38 articles.
1. Identification of power distribution network topology via voltage correlation analysis
2. Distribution Network Reconfiguration for Loss Reduction and Voltage Stability With Random Fuzzy Uncertainties of Renewable Energy Generation and Load
3. Distribution Network Topology Reconstruction Method Based on Lasso and Its Supplementary Criterions
4. Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming
5. Estimating distribution grid topologies: A graphical learning based approach
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