UHVDC Transmission Line Fault Identification Method Based on Generalized Regression Neural Network
A protection method for ultra-high voltage direct current transmission lines based on generalized regression neural network (GRNN) is proposed to address the issues of easy rejection and long fault detection time in ultra-high voltage direct current protection. Firstly, based on the generalized S-tr...
Saved in:
Main Authors: | XIE Jia, LIU Feng, KE Yanguo, YIN Zhen, RUAN Wei, YAO Jinming |
---|---|
Format: | Article |
Language: | Chinese |
Published: |
Harbin University of Science and Technology Publications
2025-04-01
|
Series: | Journal of Harbin University of Science and Technology |
Subjects: | |
Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2421 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UHVDC Transmission Fault Location Based on Residual Convolutional Neural Network
by: LI Ji, et al.
Published: (2024-10-01) -
A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm
by: Mohammad Parpaei, et al.
Published: (2023-03-01) -
An adaptive distance protection scheme considering fault resistance, injected current, and structural changes in the power system
by: Majid Mohtashami, et al.
Published: (2024-12-01) -
DETECTION OF FAULT LOCATION ON THE POWER LINES 6–35 kV WITH UNILATERAL FEED
by: F. A. Romaniuk, et al.
Published: (2014-10-01) -
Transmission line fault identification method based on weighted federated learning and multimodal residual network
by: Jian Wang, et al.
Published: (2025-09-01)