A method for checking data quality of wind power generation based on Pearson correlation coefficient

A technology of correlation coefficient and data quality, applied in data processing applications, information technology support systems, instruments, etc., can solve problems such as insufficiency and large amount of data, improve quality, reasonable quality, and save the cost of daily operation and maintenance Effect

Active Publication Date: 2019-03-01
JIANGSU FRONTIER ELECTRIC TECH +2
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The new energy data center collects real-time data of wind power generation every day for daily operation and maintenance and data analysis. The amount of data processed is huge, and the daily data volume has reached 4GB. The traditional manual method of checking data can no longer meet the status quo

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
  • A method for checking data quality of wind power generation based on Pearson correlation coefficient
  • A method for checking data quality of wind power generation based on Pearson correlation coefficient
  • A method for checking data quality of wind power generation based on Pearson correlation coefficient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0022] Such as figure 1 As shown, a method for checking the quality of wind power generation data based on Pearson correlation coefficient includes the following steps:

[0023] Step 1: Select the standard sample data to calculate the Pearson correlation coefficient;

[0024] Step 1-1: Standard sample data collation

[0025] The whole point wind power generation power and wind speed data of a wind power station in one day (relatively stable wind speed) is selected as the standard sample. The specific standard sample data is shown in Table 1:

[0026] Table 1

[0027]

[0028]

[0029] Step 1-2: Calculate the Pearson Correlation Coefficient

[0030] The Pearson correlation coefficient is obtained by dividing the covariance of two variables by the standard deviation of the two variables, and the formula is as follows:

[0031]

[00...

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 method for checking data quality of wind power generation based on Pearson correlation coefficient, which comprises the following steps: selecting standard sample data to calculate Pearson correlation coefficient; correction of daily data using Pearson correlation coefficients; comparing the Pearson correlation coefficients of the two sets of replacement data, the conclusion is drawn. The invention corrects the wind power generation data through the Pearson correlation coefficient of the wind power generation power and the wind speed, can more scientifically and reasonably improve the data quality of the wind power generation, plays an effective supporting role in the collection and analysis of the wind power generation data of the new energy data center, and saves the daily operation and maintenance cost of the wind power station.

Description

technical field [0001] The invention belongs to the technical field of wind power generation data quality evaluation, in particular to a method for checking the quality of wind power generation data based on Pearson correlation coefficient. Background technique [0002] Wind power is a kind of clean and green renewable energy, and it is also one of the power generation methods with the most mature technology, the most large-scale development conditions and the most commercial development prospects in the field of renewable energy. Accelerating the development of wind power has become an important way for many countries, including China and the European Union, to promote energy structure transformation and address climate and environmental issues. [0003] The new energy data center collects real-time data of wind power generation every day for daily operation and maintenance and data analysis. The amount of data processed is huge, and the daily data volume has reached 4GB. ...

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): G06Q10/06G06Q50/06
CPCG06Q10/06395G06Q50/06Y04S10/50
Inventor 陆晓雷震金鑫李剑顾俊严佳欣马吉科尹飞张鸿鸣王松戴炀蒋超帅率
Owner JIANGSU FRONTIER ELECTRIC 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap