Abstract
Solar power generation converts solar radiation into electrical energy. It is the most environmentally friendly green energy source in modern times, but the solar radiation reception rate is unstable due to weather. The general weather forecast is for the climate of a large area and cannot provide effective real-time prediction to the area where the power plant generating radiant energy from solar radiation. The sky imager can collect the sky image of the location of the solar power panel in real time, which can help to understand the weather conditions in real time, especially the dynamics of the clouds, which is the main reason for affecting the solar power generation. In this study, the optical flow method was used to analyze the motion vectors of clouds in the sky image, thereby estimating the changes of clouds in a short time, and the correlation between the distribution of clouds in the sky and the radiation of the whole sky images was analyzed through a neural network. The change further predicts the change in radiation across the sky, thereby effectively assessing the efficiency of solar power generation.
Highlights
Smart grid is a modern power transmission network [1]
The experiment using neural networks to find the correlation between Total solar irradiance (TSI) and Global Horizontal Irradiance (GHI) is designed as follows: the total sky images from 05:00 am to 17:00 pm are used as testing data, and the sampling frequency is 60 images per hour
The blue line is the ground observation data, the orange line is the prediction result, the horizontal axis is the test time, the time is arranged in order, and the vertical axis is the normalized GHI Value, it can be clearly seen that if the weather does not change drastically, there is no obvious loss of the GHI value, but when the weather changes drastically, the GHI changes due to the cloud cover, and the model trained by the neural network can effectively predict
Summary
Smart grid is a modern power transmission network [1]. In order to reduce losses and improve the reliability of the power grid, it uses information and communication technology to detect and collect the power status on the power side and the power usage status on the use side through digital or analog signals, and make adjustments. According to this information, power generation, transmission and distribution are performed to save power consumption [2]. The specific method is described as follows: first collect the past sky imager image data (Total Sky Image, TSI) and ground observation data
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