Optical power prediction algorithm based on satellite cloud atlas

A satellite cloud image and prediction algorithm technology, applied in prediction, calculation, image analysis, etc., can solve problems such as the inability to predict optical power and the shading influence of photovoltaic power plants

Pending Publication Date: 2019-12-31
绩元(上海)数据科技有限公司
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The object of the present invention is to provide an optical power prediction algorithm based on satellite cloud images. The present invention introduces visible light satellite cloud images as the input of the prediction data model, and judges the cloud images of the past few hours by comparing and analyzing the predictions in the next few hours. The cloud shading situation above the photovoltaic power station, and the irradiance prediction value is corrected through the empirical model to solve the problem that the shading effect of the cloud layer on the photovoltaic power station can not predict the optical power well

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0020] An optical power prediction algorithm based on satellite cloud images, the prediction method uses visible light satellite cloud images as a forecast data model, and predicts cloud occlusion above a certain photovoltaic power plant in the next few hours by analyzing and judging the cloud image changes in the past several hours conditions, and correct the predicted value of the radiation intensity of a specific photovoltaic power station through an empirical model to solve the problem that the cloud blocks the photovoltaic power station and c...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an optical power prediction algorithm based on a satellite cloud atlas. The optical power prediction algorithm uses a visible light satellite cloud picture as a prediction datamodel, predicts the cloud shielding condition above a certain specific photovoltaic power station in a plurality of hours in the future by analyzing and judging the cloud picture change condition in aplurality of hours in the past, and corrects the irradiation intensity prediction value of the specific photovoltaic power station through the empirical model, so that the problem that the optical power cannot be predicted due to the fact that the photovoltaic power station is shielded by the cloud is solved, and fluctuation of the cloud layer above the photovoltaic power station is effectively predicted, and the irradiance prediction precision is improved, and then prediction of the generating capacity is improved.

Description

technical field [0001] The invention relates to the field of photovoltaic power station power prediction, in particular to an optical power prediction algorithm based on satellite cloud images. Background technique [0002] With the increase of energy consumption and environmental awareness, the rapid development of new energy power generation, especially the installed capacity of photovoltaic power generation in my country has reached the first place in the world, photovoltaic power generation is affected by environmental factors and becomes unstable. The danger of power quality degradation or even disconnection, and the more accurate the photovoltaic power prediction, the smaller the impact on the safe operation of the grid after grid connection, which is of great significance for improving the development and utilization of photovoltaic power generation and ensuring the safe operation of the grid. [0003] At present, the power generation of photovoltaic power plants is gr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06T7/00
CPCG06Q10/04G06Q50/06G06T7/0002G06T2207/10041G06T2207/20084
Inventor 肖博
Owner 绩元(上海)数据科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products