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Method and system for capturing maximum wind energy based on wind energy distribution

A technology of maximum wind energy and wind energy, applied in the monitoring of wind turbines, wind turbines, engine control parameters, etc., can solve the problems of yaw angle error, no capture, easy to appear fatigue, etc., to increase power generation and reduce load, improve The effect of maximum conversion and increased power generation

Active Publication Date: 2016-04-20
BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, simply considering the wind direction angle deviation as the input, resulting in yaw angle error, the yaw control strategy output yaw angle deviation
Therefore, this method not only fails to capture the maximum wind energy and maximize the power generation, but also, the wind turbines that operate in this mode for a long time are prone to fatigue and high loads, shortening the life of the wind turbines
At the same time, the data cannot be further excavated, and no guidance can be given for the follow-up operation time of the unit

Method used

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  • Method and system for capturing maximum wind energy based on wind energy distribution
  • Method and system for capturing maximum wind energy based on wind energy distribution
  • Method and system for capturing maximum wind energy based on wind energy distribution

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no. 1 approach

[0066] Figure 4 is a flowchart of a method for capturing maximum wind energy based on wind energy distribution according to the first embodiment of the present invention.

[0067] As mentioned above, in step S101, the wind speed and wind direction of the wind turbine are measured multiple times within a set period of time. For example, wind speed and wind direction are measured N times, and the wind direction is divided into M directions.

[0068] In step S103, based on the wind speed and wind direction measured multiple times, the wind energy distribution data of the wind turbine is constructed. According to the previous detailed description, construct a measured wind energy distribution matrix E with a dimension of N×M Δt , Δt is the set time period, the measured wind energy distribution matrix E Δt The element is E n×m , represents the energy of the nth wind speed value in the mth wind direction, where n=1,2,...,N, m=0,1,...,M-1.

[0069] Such as image 3 shown in f...

no. 2 approach

[0090] Figure 5 is a flowchart of a method for capturing maximum wind energy based on wind energy distribution according to the second embodiment of the present invention.

[0091] As mentioned above, in step S101, the wind speed and wind direction of the wind turbine are measured multiple times within a set period of time. For example, wind speed and wind direction are measured N times, and the wind direction is divided into M directions.

[0092] In step S103, based on the wind speed and wind direction measured multiple times, the wind energy distribution data of the wind turbine is constructed. According to the previous detailed description, construct a measured wind energy distribution matrix E with a dimension of N×M Δt , Δt is the set time period, the measured wind energy distribution matrix E Δt The element is E n×m , represents the energy of the nth wind speed value in the mth wind direction, where n=1,2,...,N, m=0,1,...,M-1.

[0093] Such as image 3 shown in ...

no. 3 approach

[0107] Figure 6 is a flowchart of a method for capturing maximum wind energy based on wind energy distribution according to the third embodiment of the present invention.

[0108] The third embodiment is for figure 1 Further development of step S107 in. That is to say, in figure 1 The method 100 is executed after step S105 is performed, that is, after the maximum wind energy capture angle is determined.

[0109] according to Figure 6 As shown in the method 600, in the third embodiment, in step S601, the angle difference between the current angle of the wind turbine and the maximum wind energy capture angle determined in step S105 is calculated. In step S603, it is determined whether the angle difference calculated in step S601 is greater than zero. If the judgment result of step S603 is yes, that is, the angle difference is greater than 0, then in step S605, the yaw control is performed based on the maximum wind energy capture angle judged in step S105. Specifically, t...

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Abstract

The invention discloses a method and a system for capturing maximum wind energy based on wind energy distribution. According to the invention, the method comprises the following steps: repetitively measuring wind speed and wind direction of a wind turbine generator set within a set period of time; constructing wind energy distribution data of the wind turbine generator set based on the repetitively measured wind speed and wind direction; judging a maximum wind energy capture angle based on the wind energy distribution data of the wind turbine generator set; guiding the wind turbine generator set to perform yaw control based on the maximum wind energy capture angle. By acquiring the numerical values of the wind speed and the wind direction in real time, the wind conditions of the wind turbine generator set can be effectively presented in real time; by capturing the maximum wind energy direction, the maximum conversion from wind energy to electric energy is improved and the power generated by the wind turbine generator set is improved. By accumulating historical operation data and predicting the direction of the maximum wind energy during subsequent wind turbine operation, yawing can be performed in advance, real-time tracking is realized, the high load caused to the wind turbine generator set for a reason that the maximum wind energy is not captured is reduced, and the possible fault of the wind turbine generator set is reduced.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a method and system for capturing maximum wind energy based on wind energy distribution. Background technique [0002] Wind turbines convert wind energy into mechanical energy, which is then converted into electrical energy. In the case of the same conversion rate between energies, the amount of wind energy captured by wind turbines directly affects the amount of electric energy. [0003] At present, the yaw control strategy of the wind turbine mainly relies on the wind direction collected by the wind vane, and controls or triggers the yaw by calculating the angle deviation and duration within a set period of time as parameters. Therefore, it appears that simply considering the wind direction angle deviation as the input quantity causes the yaw angle error, and the output yaw angle of the yaw control strategy deviates. Therefore, this method not only fails to capt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D17/00
CPCF05B2270/32F05B2270/321
Inventor 姜永强彭进唐新安
Owner BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP CO LTD
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