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Title: Lidar-Enhanced Wind Turbine Control: Past, Present, and Future

Abstract

The main challenges in harvesting energy from the wind arise from the unknown incoming turbulent wind field. Balancing the competing interests of reduction in structural loads and increasing energy production is the goal of a wind turbine controller to reduce the cost of producing wind energy. Conventional wind turbines use feedback methods to optimize these goals, reacting to wind disturbances after they have already impacted the wind turbine. Lidar sensors offer a means to provide additional inputs to a wind turbine controller, enabling new techniques to improve control methods, allowing a controller to actuate a wind turbine in anticipation of an incoming wind disturbance. This paper will look at the development of lidar-enhanced controls and how they have been used for various turbine load reductions with pitch actuation, as well as increased energy production with improved yaw control. Ongoing work will also be discussed to show that combining pitch and torque control using feedforward nonlinear model predictive control can lead to both reduced loads and increased energy production. Future work is also proposed on extending individual wind turbine controls to the wind plant level and determining how lidars can be used for control methods to further lower the cost ofmore » wind energy by minimizing wake impacts in a wind farm.« less

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1320386
Report Number(s):
NREL/CP-5000-67055
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2016 American Control Conference (ACC), 6-8 July 2016, Boston, Massachusetts
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; lidar control; wind turbine; feedforward; wind energy; wind farm; wind plant; levelized cost of energy

Citation Formats

Scholbrock, Andrew, Fleming, Paul, Schlipf, David, Wright, Alan, Johnson, Kathryn, and Wang, Na. Lidar-Enhanced Wind Turbine Control: Past, Present, and Future. United States: N. p., 2016. Web. doi:10.1109/ACC.2016.7525113.
Scholbrock, Andrew, Fleming, Paul, Schlipf, David, Wright, Alan, Johnson, Kathryn, & Wang, Na. Lidar-Enhanced Wind Turbine Control: Past, Present, and Future. United States. doi:10.1109/ACC.2016.7525113.
Scholbrock, Andrew, Fleming, Paul, Schlipf, David, Wright, Alan, Johnson, Kathryn, and Wang, Na. 2016. "Lidar-Enhanced Wind Turbine Control: Past, Present, and Future". United States. doi:10.1109/ACC.2016.7525113.
@article{osti_1320386,
title = {Lidar-Enhanced Wind Turbine Control: Past, Present, and Future},
author = {Scholbrock, Andrew and Fleming, Paul and Schlipf, David and Wright, Alan and Johnson, Kathryn and Wang, Na},
abstractNote = {The main challenges in harvesting energy from the wind arise from the unknown incoming turbulent wind field. Balancing the competing interests of reduction in structural loads and increasing energy production is the goal of a wind turbine controller to reduce the cost of producing wind energy. Conventional wind turbines use feedback methods to optimize these goals, reacting to wind disturbances after they have already impacted the wind turbine. Lidar sensors offer a means to provide additional inputs to a wind turbine controller, enabling new techniques to improve control methods, allowing a controller to actuate a wind turbine in anticipation of an incoming wind disturbance. This paper will look at the development of lidar-enhanced controls and how they have been used for various turbine load reductions with pitch actuation, as well as increased energy production with improved yaw control. Ongoing work will also be discussed to show that combining pitch and torque control using feedforward nonlinear model predictive control can lead to both reduced loads and increased energy production. Future work is also proposed on extending individual wind turbine controls to the wind plant level and determining how lidars can be used for control methods to further lower the cost of wind energy by minimizing wake impacts in a wind farm.},
doi = {10.1109/ACC.2016.7525113},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 8
}

Conference:
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  • This paper will look at the development of lidar-enhanced controls and how they have been used for turbine load reduction with pitch actuation, as well as increased energy production with improved yaw control. Ongoing work will also be discussed to show that combining pitch and torque control using feedforward nonlinear model predictive control can lead to both reduced loads and increased energy production. Future work is also proposed on extending individual wind turbine controls to the wind plant level and determining how lidars can be used for control methods to further lower the cost of wind energy by minimizing wakemore » impacts in a wind farm.« less
  • We review the objectives and techniques used in the control of horizontal axis wind turbines at the individual turbine level, where controls are applied to the turbine blade pitch and generator. The turbine system is modeled as a flexible structure operating in the presence of turbulent wind disturbances. Some overview of the various stages of turbine operation and control strategies used to maximize energy capture in below rated wind speeds is given, but emphasis is on control to alleviate loads when the turbine is operating at maximum power. After reviewing basic turbine control objectives, we provide an overview of themore » common basic linear control approaches and then describe more advanced control architectures and why they may provide significant advantages.« less
  • Abstract not provided.
  • A severe challenge in controlling wind turbines is ensuring controller performance in the presence of a stochastic and unknown wind field, relying on the response of the turbine to generate control actions. Recent technologies such as LIDAR, allow sensing of the wind field before it reaches the rotor. In this work a field-testing campaign to test LIDAR Assisted Control (LAC) has been undertaken on a 600-kW turbine using a fixed, five-beam LIDAR system. The campaign compared the performance of a baseline controller to four LACs with progressively lower levels of feedback using 35 hours of collected data.