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

A method and system for diagnosing abnormal drift of wind turbine power curve

A technology of wind turbines and power curves, which is applied in the monitoring of wind turbines, wind turbines, engines, etc., and can solve problems such as blade freezing, lack of rigor, and inability to respond to power curves

Active Publication Date: 2017-07-28
BEIJING TIANYUAN SCI & TECH CREATION WINDPOWER TECH
View PDF8 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] When the wind turbine power curve is abnormal, it is often hidden. In the remote monitoring system, unless professional analysts analyze the power curve of the wind turbine or experienced personnel monitor the wind farm, the conventional power curve is automatically identified and compared. It is difficult to detect the drift problem of the output power of the wind turbine in time with the method
In the process of technical transformation and technical debugging, the initial parameter setting error of the wind turbine, the drift of the wind measuring instrument, the freezing of the blades, the pollution and other situations can cause the power curve of the wind turbine to distort or drift, and directly affect the power generation and output of the wind turbine. power
[0003] The existing power curve abnormality judgment is realized by calculating the degree of compliance of the power curve. The guaranteed power curve is compared with the actual power curve obtained by converting the air density into the standard power curve. This degree of compliance algorithm is based on the wind speed point. The calculation does not consider the weight, so there is a flaw that is not rigorous enough, and the average of the coincidence degree of each wind speed point of the curve after the calculation of the entire wind speed section is not able to reflect the problem of the power curve
In addition, although this algorithm has a certain effect on the average power curve, it is inefficient and needs to collect more basic information such as geographical environment. Therefore, there are many factors to be considered and there are certain errors. Although it can be used as an indicator for wind farm evaluation Benchmarking activities, but when the power curve drifts left and right, its average value can easily cause judgment errors. Therefore, the above-mentioned index comparison algorithm has certain loopholes, and it only belongs to the index evaluation method, and it is given in the wind farm. Specific optimization scheme for diagnosis and alarm of wind turbine power curve abnormality
[0004] It can be seen that the above-mentioned existing wind turbine power curve abnormality diagnosis method obviously has inconvenience and defects in method and use, and needs to be further improved urgently.

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 and system for diagnosing abnormal drift of wind turbine power curve
  • A method and system for diagnosing abnormal drift of wind turbine power curve
  • A method and system for diagnosing abnormal drift of wind turbine power curve

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] A method for diagnosing the abnormal drift of the power curve of a wind turbine, comprising the following steps: collecting unit power data under different wind speeds; sorting the collected data according to the wind speed, and calculating the power drift area under the unit accuracy, and the calculation formula is: Among them, Δw is the difference of adjacent wind speed after sorting, Δw=w i+1 -w i , Δp is the power difference of adjacent wind speed points after sorting, Δp=p i+1 -p i , i is the data index number of the sorted wind speed and corresponding power, i=1, 2, 3...n; establish a diagnostic model, determine the diagnostic parameters, and determine the positive and negative warning lines and normal intervals according to the diagnostic parameters; The above calculation result is compared with the positive and negative warning lines. The more positive the warning line is, the diagnosis is that there is a problem with the wind speed measurement, and the more ...

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 diagnostic method for abnormal shift of a wind turbine generator power curve. The diagnostic method comprises the following steps: collecting unit power data under different wind speeds; sequencing the collected data according to wind speed, calculating the power shift area under the unit accuracy; setting up a diagnostic model, confirming the diagnostic parameter, and determining positive and negative warning lines and a normal zone according to the diagnostic parameter; diagnosing and comparing the calculation result with the positive and negative warning lines, wherein for more positive warning line, it is diagnosed that the wind speed measurement is wrong; for more negative warning line, it is diagnosed that the blade aerodynamic performance is abnormal. According to the diagnostic method and the diagnostic device, the data differential integral principle is introduced to a wind power plant or a cluster monitoring early warning system of a large-scale wind power plant and judge 'cross-border' degree of the power curve; the wind power matching and stability problems of the wind turbine generator, the wind speed measurement, the wind turbine generator control problem, the blade freezing of the wind turbine generator, abnormal front wind and crosswind of a wind indicator, and other power output problems can be warned according to the power curve shifting diagnosis.

Description

technical field [0001] The invention relates to the technical field of wind power, in particular to a method and system for diagnosing abnormal drift of the power curve of a wind turbine. Background technique [0002] When the wind turbine power curve is abnormal, it is often hidden. In the remote monitoring system, unless professional analysts analyze the power curve of the wind turbine or experienced personnel monitor the wind farm, the conventional power curve is automatically identified and compared. It is difficult to find the drift problem of the output power of the wind turbine in time with the method. In the process of technical transformation and technical debugging, the initial parameter setting error of the wind turbine, the drift of the wind measuring instrument, the freezing of the blades, the pollution and other situations can cause the power curve of the wind turbine to distort or drift, and directly affect the power generation and output of the wind turbine. ...

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): F03D17/00
Inventor 叶月光
Owner BEIJING TIANYUAN SCI & TECH CREATION WINDPOWER TECH
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