Lidar-Assisted Wind Turbine Feedforward Torque Controller Design Below Rated

Na Wang, Alan Wright, Kathryn Johnson, Carlo Carcangiu

Research output: Contribution to conferencePaperpeer-review

13 Scopus Citations

Abstract

Two below-rated feedforward torque control strategies are investigated for a megawatt-scale commercial turbine to regulate rotor speed and reduce turbine structural loads. The investigated regime for this research is the transition region when the turbine is operating just below rated wind speed. In this transition region, the rotor speed has reached its rated value but the generator torque has not. The first of the two controllers designed is a nonlinear feedforward controller that is based on aerodynamic torque balance computed from a light detection and ranging (lidar) measurement and a feedback power measurement from the turbine. A linear disturbance accommodating control (DAC) based torque controller has also been adapted and compared with the nonlinear control strategy. This DAC depends only on the lidar feedforward measurement without using feedback measurement from the turbine. The controllers are verified with a nonlinear FAST turbine model and turbulent wind fields.

Original languageAmerican English
Pages3728-3733
Number of pages6
DOIs
StatePublished - 2014
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: 4 Jun 20146 Jun 2014

Conference

Conference2014 American Control Conference, ACC 2014
Country/TerritoryUnited States
CityPortland, OR
Period4/06/146/06/14

NREL Publication Number

  • NREL/CP-5000-61427

Keywords

  • Control applications
  • Power systems

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