Supergen Wind Hub: D3.3 Report on Wind Farm Control Algorithms to Meet Asset Management Requirements

Wind Energy & Control Group; Romans Kazacoks; Matthew Cole; Bill Leithead

doi:10.17868/77130

Supergen Wind Hub: D3.3 Report on Wind Farm Control Algorithms to Meet Asset Management Requirements

Wind Energy & Control Group, Romans Kazacoks, Matthew Cole, Bill Leithead

Research output: Book/Report › Commissioned report

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Abstract

In this report, the investigation of the dependence of the loads on individual turbines in an offshore wind farm is reported. Three layouts of the wind farm are considered for a wide range of wind conditions, including wind direction. The relationships of loads to generated power and position of the wind turbine in the farm are explored. In addition, different farm level control algorithms to curtail the power output from the farm are compared to determine the strategy that maximises the reduction in turbine loads. The StrathFarm simulation tool has been used extensively in this work which has, also, enabled it to be
thoroughly tested. Even though a large number of simulation runs are conducted, it is clear that the stochastic nature of the wind field renders the results subject to a degree of uncertainty warranting further investigation.

Original language	English
Place of Publication	Glasgow
Publisher	University of Strathclyde
Commissioning body	Research Councils UK (Now UKRI)
Number of pages	91
DOIs	https://doi.org/10.17868/77130
Publication status	Published - 30 Sept 2019

Keywords

StrathFarm
wind farm
wind energy
asset management
power management
offshore wind farm management

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10.17868/77130

Wind-Energy-Control-Group-2019-SUPERGEN-Wind-Hub-D3-3-Report-on-wind-farm-control-algorithmsFinal published version, 9.96 MB

EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems | Cole, Matthew
Leithead, B. (Principal Investigator), Campos-Gaona, D. (Co-investigator) & Cole, M. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/09/16 → 29/09/23
Project: Research Studentship - Internally Allocated
MAXFARM (MAXimizing wind Farm Aerodynamic Resource via advanced Modelling)
Leithead, B. (Principal Investigator) & Yue, H. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
2/11/15 → 1/05/19
Project: Research
Supergen Wind Hub
Leithead, B. (Principal Investigator), McDonald, A. (Academic), McMillan, D. (Academic), Anaya-Lara, O. (Co-investigator), Brennan, F. (Co-investigator), McGregor, P. (Co-investigator), Attya, A. (Researcher), Campos-Gaona, D. (Researcher), Comerford, D. (Researcher), Hur, S. H. (Researcher), Stock, A. (Researcher) & Yue, H. (Researcher)
EPSRC (Engineering and Physical Sciences Research Council)
19/06/14 → 18/09/19
Project: Research

Cite this

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title = "Supergen Wind Hub: D3.3 Report on Wind Farm Control Algorithms to Meet Asset Management Requirements",

abstract = "In this report, the investigation of the dependence of the loads on individual turbines in an offshore wind farm is reported. Three layouts of the wind farm are considered for a wide range of wind conditions, including wind direction. The relationships of loads to generated power and position of the wind turbine in the farm are explored. In addition, different farm level control algorithms to curtail the power output from the farm are compared to determine the strategy that maximises the reduction in turbine loads. The StrathFarm simulation tool has been used extensively in this work which has, also, enabled it to bethoroughly tested. Even though a large number of simulation runs are conducted, it is clear that the stochastic nature of the wind field renders the results subject to a degree of uncertainty warranting further investigation.",

keywords = "StrathFarm, wind farm, wind energy, asset management, power management, offshore wind farm management",

author = "{Wind Energy & Control Group} and Romans Kazacoks and Matthew Cole and Bill Leithead",

note = "The contributions of Lindsay Amos and Adam Stock are, also, gratefully acknowledged.",

year = "2019",

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doi = "10.17868/77130",

language = "English",

publisher = "University of Strathclyde",

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T2 - D3.3 Report on Wind Farm Control Algorithms to Meet Asset Management Requirements

AU - Wind Energy & Control Group

AU - Kazacoks, Romans

AU - Cole, Matthew

AU - Leithead, Bill

N1 - The contributions of Lindsay Amos and Adam Stock are, also, gratefully acknowledged.

PY - 2019/9/30

Y1 - 2019/9/30

N2 - In this report, the investigation of the dependence of the loads on individual turbines in an offshore wind farm is reported. Three layouts of the wind farm are considered for a wide range of wind conditions, including wind direction. The relationships of loads to generated power and position of the wind turbine in the farm are explored. In addition, different farm level control algorithms to curtail the power output from the farm are compared to determine the strategy that maximises the reduction in turbine loads. The StrathFarm simulation tool has been used extensively in this work which has, also, enabled it to bethoroughly tested. Even though a large number of simulation runs are conducted, it is clear that the stochastic nature of the wind field renders the results subject to a degree of uncertainty warranting further investigation.

AB - In this report, the investigation of the dependence of the loads on individual turbines in an offshore wind farm is reported. Three layouts of the wind farm are considered for a wide range of wind conditions, including wind direction. The relationships of loads to generated power and position of the wind turbine in the farm are explored. In addition, different farm level control algorithms to curtail the power output from the farm are compared to determine the strategy that maximises the reduction in turbine loads. The StrathFarm simulation tool has been used extensively in this work which has, also, enabled it to bethoroughly tested. Even though a large number of simulation runs are conducted, it is clear that the stochastic nature of the wind field renders the results subject to a degree of uncertainty warranting further investigation.

KW - StrathFarm

KW - wind farm

KW - wind energy

KW - asset management

KW - power management

KW - offshore wind farm management

U2 - 10.17868/77130

DO - 10.17868/77130

M3 - Commissioned report

BT - Supergen Wind Hub

PB - University of Strathclyde

CY - Glasgow

ER -

Supergen Wind Hub: D3.3 Report on Wind Farm Control Algorithms to Meet Asset Management Requirements

Abstract

Keywords

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Projects

EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems | Cole, Matthew

MAXFARM (MAXimizing wind Farm Aerodynamic Resource via advanced Modelling)

Supergen Wind Hub

Cite this