Research on the Design of Online Monitoring System for Photovoltaic Power Station Based on BP Neural Network
In this paper,an online monitoring system of photovoltaic power station based on Back Propagation(BP)neural network is designed,and the functions of data acquisition,preprocessing,fault diagnosis and prediction and early warning are realized through hierarchical architecture.The empirical study of the system in a photovoltaic power station shows that the monitoring system based on BP neural network is significantly superior to the traditional threshold judgment method in early warning accuracy,false alarm rate and lead time,which provides effective support for intelligent operation and maintenance of photovoltaic power stations.
Back Propagation(BP)neural networkphotovoltaic power stationonline monitoring
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