Distribution network state estimation based on attention-enhanced recurrent neural network pseudo-measurement modeling

Distribution network state estimation based on attention-enhanced recurrent neural network pseudo-measurement modeling

Abstract Because there is insufficient measurement data when implementing state estimation in distribution networks, this paper proposes an attention-enhanced recurrent neural network (A-RNN)-based pseudo-measurement modeling metho. First, based on analyzing the power series at the source and load e...

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Bibliographic Details
Main Authors: Yaojian Wang, Jie Gu, Lyuzerui Yuan
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Protection and Control of Modern Power Systems
Subjects:
State estimation
Pseudo measurement
Recurrent neural network
Attention mechanism
Time-frequency domain analysis
Distribution network
Online Access:https://doi.org/10.1186/s41601-023-00306-w

Internet

https://doi.org/10.1186/s41601-023-00306-w

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