Parameter identification of key components of thyristor converter valve based on wavelet packet key feature extraction and Elman neural network

Parameter identification of key components of thyristor converter valve based on wavelet packet key feature extraction and Elman neural network

Abstract Online health monitoring of thyristor converter valve is very important for the stable operation of high voltage direct current (HVDC) system. However, in practical projects, only offline annual maintenance can be realized. This paper proposes a method for parameter identification of thyris...

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Bibliographic Details
Main Authors: Lei Pang, Tianyi Zhang, Xinbing Wang, Kang Zhang, Longchen Liu
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:IET Generation, Transmission & Distribution
Subjects:
data driven
Elman neural network
parameter identification
wavelet packet
Online Access:https://doi.org/10.1049/gtd2.12716

Internet

https://doi.org/10.1049/gtd2.12716

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