Temperature and photovoltaic scene generation method based on time sequence correlation feedback correction
The invention discloses a temperature and photovoltaic scene generation method based on time sequence correlation feedback correction. The method comprises the following steps: 1, generating a related temperature set and a corresponding photovoltaic scene according to an illumination scene obtained...
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Main Authors | , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
02.09.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a temperature and photovoltaic scene generation method based on time sequence correlation feedback correction. The method comprises the following steps: 1, generating a related temperature set and a corresponding photovoltaic scene according to an illumination scene obtained by a Monte Carlo method; 2, taking the illumination intensity scene value and the temperature prediction value as input, obtaining temperature output under each scene by using Kalman filtering, and taking the temperature output as a reference value of each scene; 3, taking the illumination intensity scene value and the corresponding temperature reference value as mean values, substituting the mean values into multivariate normal distribution at each moment, and generating multiple groups of random variables (E, T) at each scene and moment; and 4, in the range that the illumination intensity scene value floats up and down by epsilon, finding the temperature closest to the reference value, and taking the temperature |
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Bibliography: | Application Number: CN202210677248 |