Distributed type solar radiation prediction method and system based on micro-meteorology data

A forecasting method and micro-meteorological technology, applied in the field of solar radiation forecasting, can solve the problems of random fluctuations, unschedulable, undeveloped technologies and products, etc., and achieve the effect of reducing energy storage costs, improving power quality and dispatchability

Active Publication Date: 2014-08-13
WUHAN DONGRI TECH
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the characteristics of unschedulable, intermittent, and random fluctuations in the output power of solar photovoltaic power generation, at present, the power prediction technology of photovoltaic power generation is still in the exploration and research stage at home and abroad. There is no recognized mature technology and product, and it is impossible to accurately predict the solar radiation strength

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
  • Distributed type solar radiation prediction method and system based on micro-meteorology data
  • Distributed type solar radiation prediction method and system based on micro-meteorology data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0031] like figure 1 As shown, the present embodiment is a distributed solar radiation prediction method based on micro-meteorological data, including the following content,

[0032] S100, collecting real-time weather data, performing data analysis and sorting, eliminating errors and unnecessary real-time weather data, storing them in the micro-meteorological collection device, and sending them to the data service center at regular intervals, and forming historical weather data in the data service center; The above-mentioned historical weather data is the weather data of the past year; the data excluded from the obtained real-time weather data are data other than date, time, weather conditions, temperature, rainfall...

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 relates to a distributed type solar radiation prediction method based on micro-meteorology data. The distributed type solar radiation prediction method comprises the following steps that S100, a micro-meteorology collection device collects, processes and stores real-time weather data and sends the real-time weather data to a data service center regularly, and historical weather data are formed in the data service center; S200, the data service center collects and processes future weather forecast data; S300, the historical weather data obtained in the S100 are summed up and sorted up, multiple regression data analysis is carried out on the historical weather data, the atmospheric transmissivity of each period of ten days within the next year and the sunshine durations corresponding to the sunny days, the cloudy days and the rainy days of every month are obtained and are combined with the future weather forecast data obtained in the S200, and the sun radiation intensity of the future days can be obtained. The distributed type solar radiation prediction method based on the micro-meteorology data can accurately predict the solar radiation intensity of the future days.

Description

technical field [0001] The invention relates to a solar radiation prediction method and system, in particular to a distributed solar radiation prediction method and system based on micrometeorological data. Background technique [0002] The construction of distributed photovoltaic power stations around the world is in full swing, and the country is making great strides. With the increasing penetration rate of distributed photovoltaic power generation system in distribution network, its negative impact on distribution network economic operation and power quality is becoming more and more serious, which has become an urgent problem to be solved. Due to the characteristics of unschedulable, intermittent, and random fluctuations in the output power of solar photovoltaic power generation, at present, the power prediction technology of photovoltaic power generation is still in the exploration and research stage at home and abroad. There is no recognized mature technology and produ...

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
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 崔小武徐海波石自力李德华甘杰杨晗黄媛李麓刘伟尾崎哲男
Owner WUHAN DONGRI TECH
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