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A method for maximum wind energy capture of variable speed wind turbines based on elm

A technology of maximum wind energy and units, applied in wind power generation, engine functions, wind engines, etc., can solve problems such as high cost of implementation and difficulty in parameter selection, achieve the effects of reducing system cost, increasing economic benefits, and overcoming slow convergence speed

Active Publication Date: 2021-06-22
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to improve the wind energy capture efficiency of the optimal torque control algorithm and solve the problems of high cost and difficult parameter selection in the existing maximum wind energy capture method, the present invention provides a maximum wind energy capture method with low cost and simple control parameter debugging, which can Reduce the construction and operation and maintenance costs of wind farms, extend the service life of the units, increase the production capacity of the units, and increase the economic benefits of wind farms

Method used

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  • A method for maximum wind energy capture of variable speed wind turbines based on elm
  • A method for maximum wind energy capture of variable speed wind turbines based on elm
  • A method for maximum wind energy capture of variable speed wind turbines based on elm

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Embodiment

[0065] This embodiment uses GH Bladed wind power development software to verify the effectiveness of the method provided by the present invention. In order to illustrate the innovation of the present invention, it is compared with the following traditional optimal torque control method

[0066]

[0067] Among them, T gOTC is the electromagnetic torque value given by the optimal torque control algorithm, k opt is the control parameter, ω g is the generator speed, ρ=1.225Kg / m 3 is the air density, R=38.5m is the radius of the wind wheel, C pmax =0.482 is the maximum wind energy capture coefficient, λ opt =8.5 is the best tip speed ratio, n g =104.494 is the transmission ratio of the gearbox.

[0068] Such as figure 1 Shown is the comparison chart of the actual value and the estimated value of the effective wind speed of the present invention. In order to reduce the drive chain load of the unit, the estimated wind speed is input into the control system after passing th...

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Abstract

The invention discloses an ELM-based maximum wind energy capture method. Obtain the effective wind speed information of the unit in a certain period of time and the unit output data related to the effective wind speed in the corresponding time period, remove the correlation in the obtained unit output data and perform normalization operation, construct the training set of ELM, use the The ELM model is determined in the training set, and the wind speed estimation model is obtained. This model gives the effective wind speed value online, and then calculates the speed tracking error, and provides a continuous maximum wind energy capture controller. The maximum wind energy capture controller obtained by this method can eliminate the buffeting phenomenon, thereby reducing the load of the transmission system, prolonging the service life of the unit, overcoming the shortcomings of the traditional optimal torque algorithm with a slow convergence speed, and improving the efficiency of wind energy capture, which is simple and easy , the implementation cost is low, and there are few parameters that need to be debugged. Compared with the traditional optimal torque control algorithm, it can improve the production capacity of the unit and increase the economic benefits of the wind farm.

Description

technical field [0001] The invention relates to the technical field of control of wind power generating sets, in particular to an ELM-based method for capturing maximum wind energy of variable speed wind generating sets. Background technique [0002] In the past few decades, wind power has developed rapidly all over the world. The wind in nature is highly random and intermittent, resulting in great unpredictability and volatility of wind power. "Wind curtailment" is common in the wind power industry. Therefore, the commercial value of wind power needs to be further developed. Lift and dig. [0003] Maximum wind energy capture is one of the main control objectives of wind turbines and an important guarantee for the maximum economic benefits of wind farms. In order to achieve this goal, the optimal torque control algorithm is generally used in the industry at present. The principle of this algorithm is very simple, that is, Assuming that the wind speed is a constant value, o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F03D7/00
CPCF03D7/00F05B2260/84F05B2270/32F05B2270/70Y02E10/72
Inventor 杨秦敏焦绪国陈积明傅凌焜陈棋孙勇
Owner ZHEJIANG UNIV
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