Transient Overvoltage Prediction Method for Renewable Energy Stations via Knowledge-Embedded Enhanced Deep Neural Network

Transient Overvoltage Prediction Method for Renewable Energy Stations via Knowledge-Embedded Enhanced Deep Neural Network

When a line-commutated converter–high-voltage direct current (LCC-HVDC) transmission system with large-scale integration of renewable energy encounters HVDC-blocking events, the sending-end power system is prone to transient overvoltage (TOV) risks. Renewable energy units that are connected via powe...

Full description

Saved in:
Bibliographic Details
Main Authors: Guangyao Wang, Jun Liu, Jiacheng Liu, Yuting Li, Tianxiao Mo, Sheng Ju
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Energies
Subjects:
transient overvoltage
DC blocking
deep neural network
multiple renewable station short-circuit ratio
Online Access:https://www.mdpi.com/1996-1073/18/5/1090
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1996-1073/18/5/1090

Similar Items