ELM based maximum wind energy capturing method of variable speed wind turbine

A technology for the largest wind energy and units, applied in wind energy power generation, engine functions, wind turbines, etc., can solve the problems of high implementation cost and difficult parameter selection, and achieve the effect of reducing system cost, increasing economic benefits, and simple and easy method.

Active Publication Date: 2020-04-28
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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  • ELM based maximum wind energy capturing method of variable speed wind turbine
  • ELM based maximum wind energy capturing method of variable speed wind turbine
  • ELM based maximum wind energy capturing method of variable speed wind turbine

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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 capturing method which comprises the following steps: obtaining effective wind speed information of a unit within certain time segment and theunit output data related to the effective wind speed within a corresponding time segment, removing the correlation of the obtained unit output data, carrying out normalization operation, constructinga training set of ELM, adopting the training set to determine an ELM model to obtain a wind speed estimation model, giving an effective wind speed value on time by the model to further calculate the revolving speed tracking error, and giving a continuous and maximum wind energy capturing controller. According to the ELM based maximum wind energy capturing method, the obtained maximum wind energy capturing controller can eliminate the buffeting phenomenon, so that the load of a drive system is reduced, the service life of the unit is prolonged, the defect that the traditional optimal torque algorithm is lower in convergence rate is overcome, the wind energy capturing efficiency is improved, the method is simple and easy to do, the implementation cost is low, and the parameters to be debugged are fewer; and compared with the traditional optimal torque control algorithm, the unit productivity can be improved to improve the economic benefit of a 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 Applications(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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