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Expert Elicitation on Wind Farm Control

Journal Article · · Journal of Physics. Conference Series
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  1. Delft Univ. of Technology (Netherlands)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. Technical Univ. of Denmark, Roskilde (Denmark)
  4. CENER, Sarriguren (Spain)
  5. Technical Univ. of Munich (Germany)
  6. Katholieke Univ. Leuven, Heverlee (Belgium)
  7. Sowento, Stuttgart (Germany)
  8. SINTEF Energy Research, Trondheim (Norway)
+ Show Author Affiliations
Wind farm control is an active and growing field of research in which the control actions of individual turbines in a farm are coordinated, accounting for inter-turbine aerodynamic interaction, to improve the overall performance of the wind farm and to reduce costs. The primary objectives of wind farm control include increasing power production, reducing turbine loads, and providing electricity grid support services. Additional objectives include improving reliability or reducing external impacts to the environment and communities. In 2019, a European research project (FarmConners) was started with the main goal of providing an overview of the state-of-the-art in wind farm control, identifying consensus of research findings, data sets, and best practices, providing a summary of the main research challenges, and establishing a roadmap on how to address these challenges. Complementary to the FarmConners project, an IEA Wind Topical Expert Meeting (TEM) and two rounds of surveys among experts were performed. From these events we can clearly identify an interest in more public validation campaigns. Additionally, a deeper understanding of the mechanical loads and the uncertainties concerning the effectiveness of wind farm control are considered two major research gaps.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
European Union (EU); Netherlands Organization for Scientific Research (NWO); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1665802
Report Number(s):
NREL/JA--5000-76874; MainId:10518; UUID:77b51a4a-ac82-479b-adbb-1eda28f1b812; MainAdminID:15185
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 1618; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

References (14)

A quantitative review of wind farm control with the objective of wind farm power maximization journal September 2019
On wind farm wake mixing strategies using dynamic individual pitch control journal September 2020
A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model preprint January 2018
Initial Results From a Field Campaign of Wake Steering Applied at a Commercial Wind Farm: Part 1 posted_content February 2019
Survey of wind farm control-power and fatigue optimization: Survey of wind farm control journal May 2014
Experimental investigation of wake effects on wind turbine performance journal August 2011
Effects of axial induction control on wind farm energy production - A field test journal September 2019
Wind farm power optimization via yaw angle control: A wind tunnel study journal March 2019
Wind farm power optimization through wake steering journal July 2019
Field test of wake steering at an offshore wind farm journal January 2017
Towards practical dynamic induction control of wind farms: analysis of optimally controlled wind-farm boundary layers and sinusoidal induction control of first-row turbines journal January 2018
Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines journal January 2018
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 journal January 2019
Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments journal January 2020

Figures / Tables (10)

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Figure 8(p. 8)figure Figure 8
Figure 9(p. 9)figure Figure 9

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Related Subjects

17 WIND ENERGY
IEA
expert elicitation
wind farm control