Enhanced Fault Localization in Multi-Terminal HVDC Systems Using Improved Gaussian Process Regression

Enhanced Fault Localization in Multi-Terminal HVDC Systems Using Improved Gaussian Process Regression

Accurate fault localization is crucial for protecting DC networks following the successful detection of internal faults in power transmission systems, as it minimizes the need for replacements and enables swift power recovery. This study proposes an improved Gaussian process regression (IGPR)-based...

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Bibliographic Details
Main Authors: Abha Pragati, Manohar Mishra, Pritam Bhowmik, Josep M. Guerrero, Debadatta Amaresh Gadanayak
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
optimization algorithm
Gaussian process regression
HVDC
multi-terminal
hyperparameter tuning
Online Access:https://ieeexplore.ieee.org/document/10605778/
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