The invention discloses an
ultraviolet index-based solar
irradiation intensity prediction and
correction method for a
photovoltaic power station, and the method comprises the steps: obtaining free
ultraviolet indexes, cloud layer parameters and conventional meteorological data through an API interface, firstly calculating the total
ultraviolet intensity in an ideal state, and then correcting the total ultraviolet intensity in combination with an atmospheric
attenuation factor and a cloud layer correction factor; dynamically determining the proportion of ultraviolet rays in the total solar
irradiation intensity according to the
solar altitude, and reversely deducing the initial total solar
irradiation intensity; and finally, through real-
time data of a local meteorological instrument, a baseline correction and dynamic error correction
dual mechanism is constructed, and a prediction result is optimized. Through fusion of multiple meteorological factors, the prediction error is less than 10%, the photovoltaic power
prediction system can be directly connected, and low-cost and high-precision data support is provided for optimized operation of the
photovoltaic power station.