Cloud cluster height measuring method based on dual foundation cloud atlas

Abstract

The invention provides a cloud cluster height measuring method based on a dual foundation cloud atlas. The method comprises the following steps: step A, determining the relative distance and relative direction between two imagers; step B, recognizing the identical cloud clusters in the cloud atlases of two imagers and extracting the position information of the identical cloud cluster; step C, determining the height of the cloud cluster based on the position information. According to the measuring method, the observation images of dual foundation cloud imager are used, the same cloud clusters are recognized, the position angles are extracted, and thus the height of the bottom of the cloud clusters above a region can be accurately calculated. Compared with the conventional ceilometer, which can only measure the heights of bottoms of clouds that are right above the ceilometer, the provided method can measure the height of clouds that are right above the imagers and is capable of measuring the height of clouds in other positions in the observation range of the imagers; and the method has the advantages of wide coverage and high calculation precision.

Description

technical field [0001] The invention belongs to the field of prediction of new energy power generation power, and in particular relates to a cloud height measurement method based on a double-ground cloud image. Background technique [0002] With the rapid increase of large-scale photovoltaic power grid-connected capacity, the randomness and volatility of photovoltaic power generation have increasingly serious impacts on the safe operation, dispatch and control of power systems. In order to reduce the harm caused by photovoltaic uncertainty to the power grid and improve the utilization efficiency of solar energy, it is first necessary to accurately predict the photovoltaic power generation. [0003] A prerequisite for photovoltaic power prediction is accurate prediction of surface irradiance. In recent years, the academic community has proposed a method for predicting surface radiation and photovoltaic power based on ground-based cloud images. This method performs cloud clust...

AI Technical Summary

Problems solved by technology

[0004] Since the existing irradiance prediction methods based on ground-based cloud images lack the extraction and calculation of cloud height information, it is urgent for those skilled in the art to develop a method that can get rid of the dependence on observation instruments such as ceilometers, avoid The method of calculating the height of cloud clusters with the limitation that the ceilometer can only observe the cloud height in the direction of the zenith

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