Measurement error evaluation method for voltage transformers in distribution networks based on self-attention and graph convolutional networks

Measurement error evaluation method for voltage transformers in distribution networks based on self-attention and graph convolutional networks

Abstract Accurately evaluating the error of voltage transformers in distribution networks is crucial for the safe operation of power systems and the fairness of electricity trade. This paper uses the connection relationship between distribution transformers and voltage transformers to predict the se...

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Bibliographic Details
Main Authors: Xiujuan Zeng, Tong Liu, Huiqin Xie, Dajiang Wang, Jihong Xiao
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:Energy Informatics
Subjects:
Distribution network
Voltage transformer
Self-attention mechanism
Graph convolutional network
Error evaluation
Online Access:https://doi.org/10.1186/s42162-025-00525-5
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https://doi.org/10.1186/s42162-025-00525-5

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