Photovoltaic short-term power forecasting method based on sunflower No.8 satellite cloud atlas

A technology of satellite cloud image and power, applied in neural learning methods, forecasting, instruments, etc., can solve the problems of low forecasting accuracy and large gap, achieve short-term cloud cover accuracy, improve forecasting accuracy, and improve forecasting accuracy.

Pending Publication Date: 2020-04-21
STATE GRID GANSU ELECTRIC POWER CORP +2
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is: in order to solve the problem that the short-term power prediction curve and the actual curve in the current photovoltaic forecasting system have a large gap and the forecast accuracy is low, the present invention provides a short-term photovoltaic power forecasting method based on the cloud image of Sunflower No. 8 satellite

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Photovoltaic short-term power forecasting method based on sunflower No.8 satellite cloud atlas
  • Photovoltaic short-term power forecasting method based on sunflower No.8 satellite cloud atlas
  • Photovoltaic short-term power forecasting method based on sunflower No.8 satellite cloud atlas

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Such as figure 1 As shown, this embodiment provides a photovoltaic short-term power forecasting method based on the Sunflower No. 8 satellite cloud image, including the following steps:

[0051] S1: Calculate the theoretical radiation of each power plant based on the geographical location and environment of each power plant, including: latitude and longitude, altitude, solar altitude angle, solar declination angle, solar hour angle, atmospheric transparency and air quality of each power plant;

[0052] The formula for calculating the solar declination angle is: n is the accumulated days arranged in the order of the number of days;

[0053] The formula for calculating the solar hour angle is: t is Beijing time, ψ is the local longitude;

[0054] The calculation formula of the sun altitude angle is: is the geographic latitude;

[0055] The formula for calculating the solar radiation intensity at any moment in the upper boundary of the atmosphere is: n is the a...

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 discloses a photovoltaic short-term power forecasting method based on a sunflower No.8 satellite cloud atlas, and relates to the technical field of photovoltaic power generation and distribution, and the method comprises the steps: S1, calculating the theoretical radiation of each power plant based on the geographic position and environment of each power plant; s2, calculating the total solar radiation on the inclined plane according to the theoretical radiation of each power plant; s3, collecting sunflower No.8 satellite cloud picture monitoring data every 1-5 days, and preprocessing the collected data; s4, performing cloud cover inversion by using the preprocessed data, establishing a neural network and wavelet analysis cloud cover prediction model, and predicting the future cloud cover; s5, calculating a cloud shading coefficient according to the predicted cloud amount; s6, calculating and obtaining effective total radiation according to the solar total radiation and the cloud shielding coefficient; and S7, converting the effective total radiation into power to obtain predicted power. The method has the advantages of being simple and high in prediction accuracy.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation and distribution, and more specifically relates to a photovoltaic short-term power forecasting method based on the cloud image of Sunflower 8 satellite. Background technique [0002] Solar photovoltaic power generation is a form of power generation that uses the photovoltaic effect of solar cells to directly convert solar radiation energy into electrical energy. At this stage, the popularization and application of solar energy is increasingly showing the world trend in the ascendant, and the solar energy industry has become one of the new energy industries that are booming in the world. . The development and utilization of clean, safe and environmentally friendly solar energy has become a common choice for human society to alleviate the growing energy shortage and a powerful force to control severe environmental pollution. [0003] The stable operation of the power grid need...

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): G06Q10/04G06Q50/06G06N3/08
CPCG06N3/08G06Q10/04G06Q50/06
Inventor 韩自奋李晓纯李扬于娟吕清泉
Owner STATE GRID GANSU ELECTRIC POWER CORP
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