Field Testing of LIDAR-Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600-kW Wind Turbine: Preprint

Andrew Scholbrock; Paul Fleming; Avishek Kumar; Ervin Bossanyi; Mathieu Boquet; Raghu Krishnamurthy

Field Testing of LIDAR-Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600-kW Wind Turbine: Preprint

Andrew Scholbrock, Paul Fleming, Avishek Kumar, Ervin Bossanyi, Mathieu Boquet, Raghu Krishnamurthy

National Wind Technology Center

Research output: Contribution to conference › Paper

Abstract

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.

Original language	American English
Number of pages	11
State	Published - 2015
Event	EWEA 2015 Annual Event - Paris, France Duration: 17 Nov 2015 → 20 Nov 2015

Conference

Conference	EWEA 2015 Annual Event
City	Paris, France
Period	17/11/15 → 20/11/15

NREL Publication Number

NREL/CP-5000-65062

Keywords

feedforward controls
field testing
LIDAR
NREL
wind turbine

Access to Document

https://www.nrel.gov/docs/fy16osti/65062.pdf

Cite this

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title = "Field Testing of LIDAR-Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600-kW Wind Turbine: Preprint",

abstract = "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.",

keywords = "feedforward controls, field testing, LIDAR, NREL, wind turbine",

author = "Andrew Scholbrock and Paul Fleming and Avishek Kumar and Ervin Bossanyi and Mathieu Boquet and Raghu Krishnamurthy",

year = "2015",

language = "American English",

note = "EWEA 2015 Annual Event ; Conference date: 17-11-2015 Through 20-11-2015",

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TY - CONF

T1 - Field Testing of LIDAR-Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600-kW Wind Turbine: Preprint

AU - Scholbrock, Andrew

AU - Fleming, Paul

AU - Kumar, Avishek

AU - Bossanyi, Ervin

AU - Boquet, Mathieu

AU - Krishnamurthy, Raghu

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - feedforward controls

KW - field testing

KW - LIDAR

KW - NREL

KW - wind turbine

M3 - Paper

T2 - EWEA 2015 Annual Event

Y2 - 17 November 2015 through 20 November 2015

ER -

Field Testing of LIDAR-Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600-kW Wind Turbine: Preprint

Abstract

Conference

NREL Publication Number

Keywords

Access to Document

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Cite this