Application of BP neural network fault diagnosis in solar photovoltaic system

This paper introduces fault diagnosis modes and points out the source of trouble in grid-connected solar photovoltaic systems. It analyses and researches the structure and algorithm of BP neural network. After that, the paper brings forward fault diagnosis method based on BP neural network for the g...

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Bibliographic Details
Published in2009 International Conference on Mechatronics and Automation pp. 2581 - 2585
Main Authors Yuchuan Wu, Qinli Lan, Yaqin Sun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Batteries
Biological neural networks
BP neural network
Fault diagnosis
Inverters
Mesh generation
Neural networks
Photovoltaic systems
Power grids
solar photovoltaic
Solar power generation
Switches
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ISBN1424426928
9781424426928
ISSN2152-7431
DOI10.1109/ICMA.2009.5246742

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Summary:This paper introduces fault diagnosis modes and points out the source of trouble in grid-connected solar photovoltaic systems. It analyses and researches the structure and algorithm of BP neural network. After that, the paper brings forward fault diagnosis method based on BP neural network for the grid-connected solar photovoltaic system. It shows this method is efficacious and earthly and attains the expected results, it can be applied to fault diagnosis of grid-connected solar photovoltaic system definitely.
ISBN:1424426928
9781424426928
ISSN:2152-7431
DOI:10.1109/ICMA.2009.5246742