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 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.