Method and system for predicting generating capacity of photovoltaic power station

Abstract

The invention provides a method and system for predicting the generating capacity of a photovoltaic power station. The method comprises the steps of collecting the current illumination intensity of the photovoltaic power station; setting a general relational expression of the solar radiation amount, the illumination parameters and the illumination intensity; calculating the future illumination intensity according to the general relational expression by utilizing the characteristic that the total solar radiation quantity is fixed but basically presents annual regular change along with the solar altitude; and fitting the future illumination intensity into a curve of the illumination intensity changing along with time, and calculating the future generating capacity according to the fitted curve. According to the principle that the total solar radiation quantity is fixed but basically presents annual regular change along with the solar altitude, the illumination intensity prediction method is simplified, and a reasonable generating capacity prediction method is obtained.

Description

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AI Technical Summary

Benefits of technology

This technology helps with accurately estimating how much solar energy will be produced by different types of plant (photovoltaics). It uses an algorithm called WEFLARA which works based on certain factors like sunlight angle or latitude/longitude for accurate estimation purposes while also taking into account various environmental conditions such as clouds cover around it's location. Overall, this approach makes predictions more efficient than current methods but still has its limitations due to variations caused by these variables over time.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving solar cell performance during peak hours when generating electricity from heat or other sources such as geothermal resources due to their low efficiency compared with direct current (DC) generators used at off-peak times. Current methods involve collecting only average values over time without considering any factors like how much sunshine actually falls onto each unit's surface being exposed to these types of materials. Additionally, there may have issues where certain areas can experience very strong shadows caused by snow falling down upon them.

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