Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatic wind tracking method and system based on big data for wind turbine generator

A wind turbine, big data technology, applied in wind power generation, wind turbines, machines/engines, etc., can solve the problems of large loss, low wind efficiency, poor stability, etc., to extend the service life, reduce the number of yaw and deviation. The effect of flight time and avoiding self-consumption

Active Publication Date: 2017-02-22
ZHEJIANG WINDEY
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the existing wind turbines, such as low wind efficiency, large loss, and poor stability, the present invention provides a wind power system based on big data that reduces loss, is stable and reliable, and has high wind efficiency. Method and system for automatic wind control of unit

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
  • Automatic wind tracking method and system based on big data for wind turbine generator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] refer to figure 1 , an automatic method for wind turbines based on big data, including the following steps:

[0023] 1) Obtain the wind speed, wind direction and power generation value of the wind turbine in real time;

[0024] 2) When the wind speed is at low wind shutdown for a long time (10min average wind speed <3m / s), compare the wind direction obtained in real time with the main wind direction derived based on the historical data of each unit, and execute subsequent yaw commands based on the comparison results.

[0025] Further, in the step 2), based on the annual change, monthly change rule and historical wind rose diagram of the wind farm historical records, it is compared with the existing wind direction change data of the day, and the main wind direction of the day is divided into periods based on big data (such as : E in the daytime and N in the evening), through correlation comparison, determine the main wind direction of the unit during the day when the un...

Embodiment 2

[0029] An automatic wind control system for wind turbines based on big data, including:

[0030] Acquisition module for real-time acquisition of wind speed and direction and generated power values ​​of wind turbines;

[0031] It is used to compare the wind direction obtained in real time with the main wind direction derived based on the historical data of each unit when the wind speed is at low wind shutdown for a long time (10min average wind speed<3m / s), and then execute subsequent yaw commands based on the comparison results Yaw control module.

[0032] Further, in the yaw control module, based on the annual change, monthly change rule and historical wind rose diagram of the wind farm historical records, it is compared with the existing wind direction change data of the day, and the main wind direction of the day is divided into periods based on big data ( For example: E in the daytime and N in the evening), through the correlation comparison, determine the main wind direc...

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 an automatic wind tracking method based on big data for a wind turbine generator. The method includes the steps of 1, obtaining the wind speed and direction and the generation power value of the wind turbine generator in real time; and 2, when the wind speed is in the small-wind halt mode for a long time, comparing the wind direction obtained in real time with a prevailing wind direction obtained on the basis of historical data of units and executing subsequent yaw constructions according to comparison results. The invention also discloses an automatic wind tracking system based on the big data for the wind turbine generator. The system comprises a collecting module for obtaining the wind speed and direction and the generation power value of the wind turbine generator in real time, and a yaw control module used for comparing the wind direction obtained in real time with the prevailing wind direction obtained on the basis of historical data of the units when the wind speed is in the small-wind halt mode for a long time and executing the subsequent yaw constructions according to the comparison results. According to the automatic wind tracking method and system, loss can be reduced, the stability and the reliability are high, and the wind tracking efficiency is high.

Description

technical field [0001] The present invention relates to the technical field of wind power, in particular to a method and system for automatically aligning wind turbines based on big data, and is especially suitable for wind farms with medium and low wind speeds with multiple main wind directions. Background technique [0002] At present, domestic small wind shutdown (<3m / s) units mainly adopt real-time wind-facing measures to obtain higher wind speeds; however, such wind-facing measures often have the following disadvantages: only relying on the detection of wind direction instruments, the change of wind direction is unpredictable , the wind time is long; if the wind is not the main wind direction when the unit is shut down, it needs a longer time to face the wind when the unit is restarted, resulting in a longer yaw consumption time; in the wind farm for a long time ), the power generation consumed by the unit yaw is greater than the power generation of the unit, and the...

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): F03D7/00
CPCF03D7/0208Y02E10/72
Inventor 任旦元廖元文周民强史晓鸣
Owner ZHEJIANG WINDEY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com