A Novel Fault Identification Method for Photovoltaic Array via Convolutional Neural Network and Residual Gated Recurrent Unit

A Novel Fault Identification Method for Photovoltaic Array via Convolutional Neural Network and Residual Gated Recurrent Unit

Under the background of the large-scale construction of photovoltaic (PV) power stations, it is crucial to discover and solve module failures in time for improving the service life and maintaining the normal operation efficiency of modules. Based on analyzing the difference of I-V curves of PV array...

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Bibliographic Details
Main Authors: Wei Gao, Rong-Jong Wai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Photovoltaic
fault diagnosis
I-V curve
1-dimensional convolutional neural network (1-D CNN)
residual-gated recurrent unit (Res-GRU)
Online Access:https://ieeexplore.ieee.org/document/9180283/

Internet

https://ieeexplore.ieee.org/document/9180283/

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