A Deep Learning Approach for Fault Detection and Localization in MT-VSC-HVDC System Utilizing Wavelet Scattering Transform
This study presents a novel algorithm for automatic fault detection in multi-terminal voltage source converter-based high voltage direct current (MT-VSCHVDC) systems. The approach integrates the wavelet scattering transform (WST) to extract low-variance feature vectors and a newly developed variable...
Saved in:
| Main Authors: | Manohar Mishra, Debadatta Amaresh Gadanayak, Abha Pragati, Jai Govind Singh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11015988/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fault Detection and Protection Strategy for Multi-Terminal HVDC Grids Using Wavelet Analysis
by: Jashandeep Kaur, et al.
Published: (2025-02-01) -
Fault current handling in large-scale MMC-HVDC systems: an improved approach with DC circuit breaker and fault current limiter
by: Rashid Hussain Chandio, et al.
Published: (2025-01-01) -
A New Protection Scheme of Intersystem Fault for AC/DC Hybrid Overhead Lines
by: Yan Tao, et al.
Published: (2025-03-01) -
Fault location scheme of HVDC converter based on fault loop analysis
by: Dalin Mu, et al.
Published: (2025-07-01) -
Design and implementation of passive impedance adapter to damp resonances between VSC‐HVDC and AC systems
by: Changyue Zou, et al.
Published: (2024-12-01)