Pseudo-LIDAR data analysis and feed-forward wind turbine control design

Jie Bao; Mengling Wang; Hong Yue; William Leithead

doi:10.1016/j.ifacol.2015.09.014

Pseudo-LIDAR data analysis and feed-forward wind turbine control design

Jie Bao, Mengling Wang, Hong Yue, William Leithead

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

123 Downloads (Pure)

Abstract

To investigate potential improvement in wind turbine control employing LIDAR measurement, pseudo-LIDAR wind speed data is produced with Bladed using a designed sampling strategy, and assessed with preliminary frequency-domain analysis. A model-inverse feed-forward controller is adapted to combine with feedback control so as to enhance pitch control performance at high wind speed. This controller is applied to an industrial-scale 5MW wind turbine model and the control performance is compared with a baseline feedback controller. Simulation study demonstrates that the combined feed-forward/feedback control scheme has improvements in reducing pitch angle variation and reduction of load relevant metrics.

Original language	English
Pages (from-to)	483 – 488
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	48
Issue number	8
DOIs	https://doi.org/10.1016/j.ifacol.2015.09.014
Publication status	Published - 7 Jun 2015
Event	9th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2015 - Whistler, British Columbia, Canada Duration: 7 Jun 2015 → 10 Jun 2015

Keywords

wind turbine control
pitch control
wind speed modelling
LIDAR
feed-forward control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ifacol.2015.09.014

Bao-etal-ADCHEM2015-pseudo-LIDAR-data-analysis-feed-forward-wind-turbine-control-designAccepted author manuscript, 393 KB

Cite this

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title = "Pseudo-LIDAR data analysis and feed-forward wind turbine control design",

abstract = "To investigate potential improvement in wind turbine control employing LIDAR measurement, pseudo-LIDAR wind speed data is produced with Bladed using a designed sampling strategy, and assessed with preliminary frequency-domain analysis. A model-inverse feed-forward controller is adapted to combine with feedback control so as to enhance pitch control performance at high wind speed. This controller is applied to an industrial-scale 5MW wind turbine model and the control performance is compared with a baseline feedback controller. Simulation study demonstrates that the combined feed-forward/feedback control scheme has improvements in reducing pitch angle variation and reduction of load relevant metrics.",

keywords = "wind turbine control, pitch control, wind speed modelling, LIDAR, feed-forward control",

author = "Jie Bao and Mengling Wang and Hong Yue and William Leithead",

year = "2015",

month = jun,

day = "7",

doi = "10.1016/j.ifacol.2015.09.014",

language = "English",

volume = "48",

pages = "483 – 488",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

number = "8",

note = "9th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2015 ; Conference date: 07-06-2015 Through 10-06-2015",

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T1 - Pseudo-LIDAR data analysis and feed-forward wind turbine control design

AU - Bao, Jie

AU - Wang, Mengling

AU - Yue, Hong

AU - Leithead, William

PY - 2015/6/7

Y1 - 2015/6/7

N2 - To investigate potential improvement in wind turbine control employing LIDAR measurement, pseudo-LIDAR wind speed data is produced with Bladed using a designed sampling strategy, and assessed with preliminary frequency-domain analysis. A model-inverse feed-forward controller is adapted to combine with feedback control so as to enhance pitch control performance at high wind speed. This controller is applied to an industrial-scale 5MW wind turbine model and the control performance is compared with a baseline feedback controller. Simulation study demonstrates that the combined feed-forward/feedback control scheme has improvements in reducing pitch angle variation and reduction of load relevant metrics.

AB - To investigate potential improvement in wind turbine control employing LIDAR measurement, pseudo-LIDAR wind speed data is produced with Bladed using a designed sampling strategy, and assessed with preliminary frequency-domain analysis. A model-inverse feed-forward controller is adapted to combine with feedback control so as to enhance pitch control performance at high wind speed. This controller is applied to an industrial-scale 5MW wind turbine model and the control performance is compared with a baseline feedback controller. Simulation study demonstrates that the combined feed-forward/feedback control scheme has improvements in reducing pitch angle variation and reduction of load relevant metrics.

KW - wind turbine control

KW - pitch control

KW - wind speed modelling

KW - LIDAR

KW - feed-forward control

UR - http://adchem2015.org/

UR - http://www.sciencedirect.com/science/article/pii/S2405896315010952

U2 - 10.1016/j.ifacol.2015.09.014

DO - 10.1016/j.ifacol.2015.09.014

M3 - Article

SN - 2405-8963

VL - 48

SP - 483

EP - 488

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 8

T2 - 9th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2015

Y2 - 7 June 2015 through 10 June 2015

ER -

Pseudo-LIDAR data analysis and feed-forward wind turbine control design

Abstract

Keywords

UN SDGs

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Supergen Wind Hub

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Pseudo-LIDAR data analysis and feed-forward wind turbine control design

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

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Supergen Wind Hub

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