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公开(公告)号:WO2021249567A1
公开(公告)日:2021-12-16
申请号:PCT/CN2021/101747
申请日:2021-06-23
Applicant: 中国能源建设集团湖南省电力设计院有限公司
IPC: F03D7/04 , F03D7/0204 , F03D7/043 , F03D7/045 , E10
Abstract: 一种基于风向预测的偏航控制方法及装置,所述偏航控制方法建立了用于预测风向的ARIMA-KF预测模型和基于有限控制集的MPC控制模型,然后通过ARIMA-KF预测模型和MPC控制模型之间相互循环迭代减少了偏航控制装置的偏航误差,从而增加了风电机组从而增加最大风力获取能力。
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公开(公告)号:WO2021244909A1
公开(公告)日:2021-12-09
申请号:PCT/EP2021/063990
申请日:2021-05-26
Inventor: ARELLANO AGUADO, Jesus , BARRERAS CARRACEDO, Marta , DÍAZ DE CORCUERA MARTINEZ, Asier , ELSO TORRALBA, Jorge
IPC: F03D7/04 , G05B13/04 , F03D7/0224 , F03D7/0276 , F03D7/0296 , F03D7/043 , F05B2270/327 , F05B2270/328 , F05B2270/334
Abstract: A controller for a wind turbine comprising a rotor and a na¬ celle arranged on a tower is described, the tower having a fundamental frequency close to or below a rated rotational frequency of the rotor. The controller comprises a rotor speed control module (1) comprising a first linear time in¬ variant control system (10) adapted to generate a first pitch control signal (PI) based on a rotor speed error signal (11), a tower damping module (2) comprising a second linear time invariant control system (20) adapted to generate a second pitch control signal (P2) based on a nacelle acceleration signal (17), and an output module adapted to output a pitch control signal based on the first pitch control signal and the second pitch control signal. Furthermore, a wind turbine and a method of controlling a wind turbine are described.
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公开(公告)号:WO2021214152A1
公开(公告)日:2021-10-28
申请号:PCT/EP2021/060414
申请日:2021-04-21
Applicant: SIEMENS GAMESA RENEWABLE ENERGY A/S
Inventor: KHOKHAR, Malik Ali Zaib , VIVES JAUME, Xavier
IPC: G05B15/02 , G05B23/02 , F03D7/043 , F05B2270/20 , G05B2219/2619 , G05B23/0283
Abstract: A method of operating a wind turbine (100) using a controller (10) is provided. The controller (10) is configured to activate or deactivate each of two or more distinct control features of the wind turbine (100), each control feature changing the operating characteristic of the wind turbine (100) and having an impact on at least one of lifetime and energy production of the wind turbine (100). The method includes determining a type of optimization parameter and an optimization target for the optimization parameter, wherein the optimization parameter is related to at least one of lifetime or energy production of the wind turbine (100). The method further performs one or more optimization steps, wherein each optimization step is performed for a different combination of activation states of the two or more control features. Based on the one or more optimization steps, an optimal combination of activation states of the two or more control features for which the estimated optimization parameter achieves the optimization target is determined.
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