A Joint Estimation Method of Distribution Network Topology and Line Parameters Based on Power Flow Graph Convolutional Networks

A Joint Estimation Method of Distribution Network Topology and Line Parameters Based on Power Flow Graph Convolutional Networks

Accurate identification of network topology and line parameters is essential for effective management of distribution systems. An innovative joint estimation method for distribution network topology and line parameters is presented, utilizing a power flow graph convolutional network (PFGCN). This ap...

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Bibliographic Details
Main Authors:	Yu Wang, Xiaodong Shen, Xisheng Tang, Junyong Liu
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Energies
Subjects:	distribution network complex-valued graph convolutional network (CV-GCN) joint topology and parameter identification
Online Access:	https://www.mdpi.com/1996-1073/17/21/5272
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