Research on DC arc fault detection in PV systems based on adjacent multi-segment spectral similarity and adaptive threshold model
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Renewable Energy, Sustainability and the Environment
Reference24 articles.
1. Module block fault locating strategy for large-scale photovoltaic arrays;Pei;Energy Convers. Manage.,2020
2. Different domains based machine and deep learning diagnosis for DC series arc failure;Dang;IEEE Access,2021
3. The detection of series arc fault in photovoltaic systems based on the arc current entropy;Georgijevic;IEEE Trans. Power Electron.,2016
4. TL–leDarcNet: Transfer learning method for low-energy series DC arc-fault detection in photovoltaic systems;Sung;IEEE Access,2022
5. Series arc fault detection in photovoltaic systems based on signal-to-noise ratio characteristics using cross-correlation function;Ahmadi;IEEE Trans. Ind. Inform.,2020
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1. Methodology for predicting the self-extinction of standardized arc faults in photovoltaic systems;Solar Energy;2024-08
2. A DC arc fault location method for PV systems based on redundant antenna array and ellipse algorithm;Solar Energy;2024-05
3. A DC arc detection method for photovoltaic (PV) systems;Results in Engineering;2024-03
4. Arc Detection of Photovoltaic DC Faults Based on Mathematical Morphology;Machines;2024-02-14
5. Series Arc Fault Characteristics and Detection Method of a Photovoltaic System;Energies;2023-12-12
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