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Power self-adaptive control method for direct-driven wind turbine

A technology for a wind turbine and a control method, which is applied in the control of wind turbines, engine control, wind power generation, etc., can solve the problems of not taking into account changes in air density and failing to obtain generator power.

Inactive Publication Date: 2018-12-18
BEIJING YUANSHEN ENERGY SAVING TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] To sum up, there are the following problems in the prior art: In the calculation process of the generator torque, the change of the local air density is not considered, the generator torque is still controlled at a fixed value, and the ideal generator power cannot be obtained

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  • Power self-adaptive control method for direct-driven wind turbine
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Embodiment Construction

[0024] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the present invention is now described.

[0025] The present invention provides a power adaptive direct-drive wind turbine control method for controlling the power of the direct-drive wind turbine. The power adaptive direct-drive wind turbine control method includes:

[0026] Determine the air density ρ of the actual working environment of the wind turbine; because the actual working environment of the wind turbine is different, the air density ρ in different places may vary greatly, and the present invention considers the variation of the air density ρ of the actual working environment of the wind turbine, No longer use the K under standard air density calculation opt , but to calculate the air density ρ of the specific working environment in real time, so that the fan can always maintain the operation at the best tip speed ratio under different air densit...

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Abstract

The invention provides a power self-adaptive control method for a direct-driven wind turbine. The power self-adaptive control method for the direct-driven wind turbine is used for controlling power ofthe direct-driven wind turbine and comprises the steps of determining the air density rho of the working environment of the wind turbine, calculating real-time Kopt according to the air density rho,specifically, Kopt is the optimal modal gain; and issuing a matched torque value Tm according to the real-time optimal modal gain Kopt, and controlling the torque omega of a power generator to be theelectric torque corresponding to the optimal blade tip velocity ratio. According to the method, parameters are corrected in real time according to local conditions, the torque of the power generator is accurately controlled and can be controlled to be close to the electric torque corresponding to the optimal blade tip velocity ratio, the optimal wind power tracing of the wind turbine is achieved,and thus the power generation capacity of the wind turbine is improved.

Description

technical field [0001] The invention relates to the field of wind power generation, in particular to a power control method of a direct-drive wind turbine, that is, a power adaptive direct-drive wind turbine control method. Background technique [0002] The energy that a wind turbine can obtain from the wind only depends on the wind speed and air density. Generating power of fan P=T opt *ω, while T m = K opt *ω 2 = πρR 5 C P / 2λ opt 3 *ω 2 ,T m is the generator torque, ω is the generator speed, and the unit has determined the optimal wind energy absorption coefficient C in the initial design stage p , which determines the optimal tip speed ratio λ opt . In the existing direct drive fan control strategy, the fan model is based on the standard air density of 1.225kg / m 3 To design, the optimal modal gain K opt is a fixed value (K opt = 135746). However, in practical applications, the influence of air density changes on fan control is not considered, which will d...

Claims

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Application Information

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IPC IPC(8): F03D7/00
CPCF03D7/00F05B2270/1033Y02E10/72
Inventor 崔锐李振华刘鋆李晓江安克许增超王冰
Owner BEIJING YUANSHEN ENERGY SAVING TECH
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