The Research of Photovoltaic Array Intelligent Fault Diagnosis Based on the BP Neural Network

Abstract:

In consideration of the photovoltaic arrays fault characteristics and the limitations of traditional fault diagnosis methods, a intelligent fault diagnosis system for photovoltaic arrays based on BP neural network is proposed.; The faults consequences of battery cracking, short circuit and the shadow is analyzed. The neural network is trained by appropriate fault samples. The simulation and experimental research on online fault diagnosis of photovoltaic modules in the Matlab environment are performed,and results proved the accuracy,effectiveness and environmental adaptability of the proposed system.

• Periodical: Advanced Materials Research (Volume 936)
• Pages: 2201-2206
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.936.2201
• Online since: June 2014
• Authors: Wen Jin Zhang*, Qiang Ge, Chen Yang Huang
• Keywords: BP Neural Network (BPNN), Fault Diagnosis, MATLAB Simulation, Network Training, Photovoltaic Array

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