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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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The objective of the paper is to develop a data-driven output constrained individual pitch control approach, which will not only mitigate the blade loads but also reduce the pitch activities. This will lead to an economically viable load control strategy. The proposed control strategy shows promising results of load reduction in the wake-rotor overlapping and turbulent wind conditions.
Preprints
https://doi.org/10.5194/wes-2021-2
https://doi.org/10.5194/wes-2021-2

  22 Jan 2021

22 Jan 2021

Review status: this preprint is currently under review for the journal WES.

Load Reduction for Wind Turbines: an Output Constrained, Subspace Predictive Repetitive Control Approach

Yichao Liu, Riccardo Ferrari, and Jan-Willem van Wingerden Yichao Liu et al.
  • Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands

Abstract. Individual Pitch Control (IPC) is a well-known approach to reduce blade loads on wind turbines. Although very effective, IPC usually requires high levels of actuator activities, which significantly increases the pitch Actuator Duty Cycle (ADC). This will subsequently result in an increase of the wear on the bearings of the blades and make the current IPC design not economical viable. An alternative approach to this issue is to reduce the actuator activities by incorporating the output constraints in IPC. In this paper, a fully data driven IPC approach, which is called constrained Subspace Predictive Repetitive Control (cSPRC) is introduced. The output constraints can be explicitly considered in the control problem formulation via a Model Predictive Control (MPC) approach. The cSPRC approach will actively produce the IPC action for the necessary load reduction when the blade loads violate the output constraints. In this way, actuator activities can be significantly reduced. Two kinds of scenarios are simulated to illustrate the unique applications of the proposed method: wake-rotor overlap and turbulent wind conditions. Simulation results show that the developed cSPRC is able to account for the output constraints into the control problem formulation. Since the IPC action from cSPRC is only triggered to prevent violating the output constraints, the actuator activities are significantly reduced. This will help to reduce the pitch ADC, thus leading to an economical viable load control strategy. In addition, this approach allows the wind farm operator to design conservative bounds to guarantee the safety of the wind turbine control system.

Yichao Liu et al.

Status: open (until 27 May 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on wes-2021-2', Ervin Bossanyi, 29 Jan 2021 reply
    • AC1: 'Reply on CC1', Yichao Liu, 08 Feb 2021 reply
      • CC2: 'Reply on AC1', Ervin Bossanyi, 09 Feb 2021 reply
  • RC1: 'Comment on wes-2021-2', Torben Knudsen, 04 Mar 2021 reply

Yichao Liu et al.

Video supplement

Output Constrained, Subspace Predictive Repetitive Control Approach for Wind Turbine Load Reduction Yichao Liu https://doi.org/10.5446/50771

Yichao Liu et al.

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Short summary
The objective of the paper is to develop a data-driven output constrained individual pitch control approach, which will not only mitigate the blade loads but also reduce the pitch activities. This will lead to an economically viable load control strategy. The proposed control strategy shows promising results of load reduction in the wake-rotor overlapping and turbulent wind conditions.
Citation