E3S Web Conf.
Volume 299, 20214th Annual International Conference on Energy Development and Environmental Protection (EDEP 2021)
|Number of page(s)||10|
|Section||Environmental Science and Engineering|
|Published online||05 August 2021|
Photovoltaic Power Prediction Considering the Influence of Smog on Solar Radiation
Northwestern Polytechnical University, School of Microelectronics, 1 Dongxiang St., Changan District, Xian, China
* Corresponding author: email@example.com
As smog significantly weakens the intensity of solar radiation, the impact of smog on photovoltaic power generation cannot be ignored. This article aims to improve the prediction accuracy of photovoltaic power generation under smog weather. The impact of main atmospheric meteorological factors on atmospheric aerosols under smog weather is studied, and radial basis function neural network is adopted to predict the optical thickness of atmospheric aerosols; then, the inclined plane radiation model is established to predict the radiation intensity received by the photovoltaic panel; finally, considering fully the factors affecting the photovoltaic power generation under the smog weather, the RBF neural network is used to predict the photovoltaic power. Experimental verification proved that the presented photovoltaic power prediction model has high accuracy.
Key words: Smog / Inclined surface solar radiation intensity / Radial basis function neural network / PV power forecast
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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