Method for predicating output power of photovoltaic power generation system based on BP (Back Propagation) neural network model

Abstract

The invention discloses a method for predicating the output power of a photovoltaic power generation system based on a BP (Back Propagation) neural network model. The method comprises the following steps of selecting influencing factors of the output power of the photovoltaic power generation system; generating input vectors according to the historical data of the selected influencing factors, and utilizing the historical data of the output power of the corresponding photovoltaic power generation system as output, thereby obtaining training samples; training a BP neural network by utilizing the training samples, thereby obtaining the trained BP neural network; generating test input vectors according to real data at the to-be-predicated moment of the selected influencing factors, inputting the test input vectors into the trained BP neural network, so that the output is the predicted value of the output power of the photovoltaic power generation system at the to-be predicated moment. According to the method for predicating the output power of the photovoltaic power generation system, modeling prediction is performed; the invention provides a predication method based on the BP neural network; the favorable nonlinear function approximation capability of the BP neural network is utilized, so that the precision and generalization capability of a prediction model are improved.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to a method for predicting the output power of a photovoltaic power generation system based on a BP neural network model. Background technique [0002] With the global energy shortage and environmental protection issues becoming more and more prominent, the utilization of renewable energy has attracted extensive attention. As an important form of renewable energy, photovoltaic power generation is one of the power generation methods with the most large-scale development conditions and commercial development prospects in renewable energy, and it has attracted more and more attention. [0003] At present, large-scale photovoltaic power generation systems have been built in large numbers at home and abroad. Hongze Photovoltaic Power Station in Huai'an, Jiangsu Province is located on the beach of Baima Lake in Hongze County. The long-term planned total construction...

AI Technical Summary

Problems solved by technology

For systems with different types of photovoltaic power generation units, there are also differences in parameters such as conversion efficiency and installation angle, and it is more difficult to determine the parameter values ​​​​of the output model of photovoltaic power generation systems. For a given photovoltaic array, the prediction effect of traditional prediction methods is relatively poor

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