Study and implementation of a control algorithm for wind turbine yaw control system

Bu, Feifei; Huang, Wei‐Ping; Hu, Yuwen; Xu, Yanhui; Shi, Kai; Qianshuang, Wang

doi:10.1109/wnwec.2009.5335830

Cited by 22 publications

(12 citation statements)

References 13 publications

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“…Yaw control systems need to be employed to capture the maximum wind power and to improve the wind turbine efficiency [23]. For this reason, the yaw position at 10-min intervals is predicted in this study.…”

Section: Yaw Position Forecastingmentioning

confidence: 99%

A novel intelligent approach for yaw position forecasting in wind energy systems

Yeşilbudak

Sağıroğlu

Çolak

2015

International Journal of Electrical Power & Energy Systems

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Section: Yaw Position Forecastingmentioning

confidence: 99%

A novel intelligent approach for yaw position forecasting in wind energy systems

Yeşilbudak

Sağıroğlu

Çolak

2015

International Journal of Electrical Power & Energy Systems

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“…While the yaw angle misalignment correction lies in the center of the yaw control schemes [ 7 – 12 ], certain issues must be considered so as to ensure the safety of the mechanical parts. For instance, the yaw system must not be extremely sensitive to movement, to avoid unnecessary wear on the mechanical components [ 7 – 9 ].…”

Section: Yaw Controlmentioning

confidence: 99%

“…The wind farm module, which is integrated in the overall simulation model developed, includes a Double fed induction generator (DFIG) wind turbine [ 12 , 28 ] which incorporates pitch and power control. This specific DFIG unit is a 9 MW wind farm consisting of six 1.5 MW wind turbines connected to a 25 kV distribution system that exports power to a 120 kV grid through a 30 km, 25 kV feeder.…”

Section: Simulation Model Descriptionmentioning

confidence: 99%

Fuzzy Regulator Design for Wind Turbine Yaw Control

Theodoropoulos

Kandris

Σαμαράκου

et al. 2014

The Scientific World Journal

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This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough simulation tests evaluate the proposed system effectiveness.

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“…Some yaw control methods using the conventional wind direction sensor are on the assumption that the measured wind direction is the real value. These methods include logical control, 11–13 traditional PID control, 14 and hybrid control based on fuzzy control 14–20 . Meanwhile, some literatures proposed to compensate θ ye to approximate the true value 17–23 .…”

Section: Introductionmentioning

confidence: 99%

Review of control strategy of large horizontal‐axis wind turbines yaw system

et al. 2020

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In order to meet the increasing demand of wind energy utilization, wind turbines (WTs) are developing toward the trend of large size and large capacity. In such a trend, various advanced yaw control strategies have been proposed to improve large WTs' comprehensive performance, but the analysis and summary of these strategies are still lacking. Therefore, it is necessary to have a review of yaw control, which not only enables readers to understand the current status of yaw control research but also promotes the development of wind energy technology. This paper presents a review of the current situation of yaw control for WTs, focusing on the mechanical/aerodynamic parts. The mechanical part is concerned with the WT yaw system and its effect on the fatigue load of the WT, and the aerodynamic part involves the wind energy capture and wake redirection to reduce the impact on adjacent WTs. In this review, the existing yaw control methods are classified in term of three control objectives: (1) increasing the wind energy capture of a single WT, (2) reducing the fatigue load of a single WT, and (3) maximizing the total power production of the whole wind farm and optimizing the wind farm fatigue load. On this basis, the control mechanism, the control algorithm, and the results are presented and analyzed in detail. Meanwhile, the advantages and disadvantages of the existing achievements are discussed. In addition, in a conclusion of the review, the future research direction has been identified.

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Study and implementation of a control algorithm for wind turbine yaw control system

Cited by 22 publications

References 13 publications

A novel intelligent approach for yaw position forecasting in wind energy systems

A novel intelligent approach for yaw position forecasting in wind energy systems

Fuzzy Regulator Design for Wind Turbine Yaw Control

Review of control strategy of large horizontal‐axis wind turbines yaw system

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