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

A real-time monitoring method and device for abnormal power performance of wind turbines

A technology for real-time monitoring of wind turbines, applied in the monitoring of wind turbines, wind power generation, wind turbines, etc., can solve inaccurate, incomplete power performance of wind turbines, and inability to accurately represent wind power fluctuations and discreteness, etc. problem, to achieve the effect of improving the prediction accuracy

Active Publication Date: 2022-05-31
ZHEJIANG ZHENENG TECHN RES INST
View PDF12 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The wind power curve is an important index parameter to characterize the operating performance of the wind turbine. At present, most of the industry adopts the method of averaging the bien bin slices in the international standard IEC61400-12 to obtain the power curve. This method only represents the test unit during the evaluation period. Therefore, it is incomplete and inaccurate to quantitatively evaluate the power performance of wind turbines based on the wind power curve.

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 real-time monitoring method and device for abnormal power performance of wind turbines
  • A real-time monitoring method and device for abnormal power performance of wind turbines
  • A real-time monitoring method and device for abnormal power performance of wind turbines

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

Embodiment 2

[0079] Step 2.1.2, clear the data in the set time limit (10 minutes) after the start of the wind turbine to be monitored and before the shutdown;

[0080] Step 2.1.3, clear data to be monitored during the limited power operation of the wind turbine;

[0081] Step 2.1.4, clear the data collected when the relevant sensor is abnormal;

[0084]

[0087] S

[0096]

[0097]

[0098]

[0102] In addition, in order to reduce the complexity of the subsequent prediction system calculation and improve the calculation convergence speed, the 0-360 degree wind direction

[0103] X

[0108] Step 5.1, assume that the monitoring sample data is X (X ∈ R

[0109] T

[0111]

[0113] Step 5.2, it is assumed that the monitoring sample data is X (X ∈ R

[0114]

[0116]

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 real-time monitoring method for abnormal power performance of a wind turbine, comprising the steps of: acquiring historical operating data of the wind turbine to be monitored and historical data of the anemometer tower of the wind farm where it is located in the same period; cleaning the historical operation data of the wind turbine to be monitored , eliminate invalid data, and retain the data under the normal operating state of the wind turbine to be monitored; and construct a multi-dimensional feature vector representing the power performance of the wind turbine, and divide the multi-dimensional feature vector into a model learning group and a model verification group. The beneficial effects of the present invention are: the present invention is more accurate and effective in quantitative evaluation of generated power, and not only the operating data of the wind turbine itself but also the data at the wind measuring tower are considered when establishing the prediction model, which significantly improves the model performance. prediction accuracy. The purpose of real-time monitoring of the power generation performance of the wind turbine can be realized; the invention can also monitor the change of the power performance of the wind turbine in real time.

Description

A real-time monitoring method and device for abnormal power performance of wind turbines technical field The invention belongs to the technical field of wind power generation, in particular to a kind of real-time monitoring of abnormal power performance of wind turbines method and apparatus. Background technique As a recognized new type of clean energy, wind power is an indispensable and important component in the adjustment of energy structure. It is a key link in the process of achieving the goal of carbon neutrality and carbon peaking in my country. With the continuous increase of wind power installed capacity and With the continuous increase in the commissioning time of the wind turbines, the industry pays more and more attention to the monitoring of the power generation performance of wind turbines. The pros and cons of wind power performance directly affect the economic benefits and safety production of wind farms. The method of generating power performance ...

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 Patents(China)
IPC IPC(8): F03D17/00F03D80/00G06Q50/06G06F30/20
CPCF03D17/00F03D80/00G06Q50/06G06F30/20Y04S10/50
Inventor 陆超吴伊雯何国栋寿春晖沈洋朱金奎
Owner ZHEJIANG ZHENENG TECHN RES INST
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