The Measurement of Solar Panel's Sunshine Factors and Design of the Best Dip Angle

Abstract

In order to study light intensity and light incident angle on the solar cell output capacity in the natural environment, we have light intensity experiments over the solar cell in the lab environment and the dip angle and azimuth angle experiment under the natural environment, and get the relation of output power and different light conditions. In order to get the best tilt angle of solar PV panels, the calculation formula of the best dip angle is obtained through the theory of solar radiation and the calculation method of solar motion and radiation intensity. In order to achieve the real-time control of solar cell system and to maximize the efficiency, take a reference of the effect of light factors on output power, and integrate solar panel angle and solar incident angle, come up the inclination function of solar radiation filling factor, and find the optimal solution by using genetic algorithm to optimize BP neural network algorithm in order to fit the solar angle function. After the above measures, we can get the solar panels' dip angle under real-time conditions corresponding to the optimal filling factor, namely the best angle of design. Through MATLAB programming simulation, the predicted results are in good agreement with the output results, and the results are practical.