Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model
- Univ. of Minnesota, Minneapolis, MN (United States). Dept. of Aerospace Engineering and Mechanics
- National Renewable Energy Laboratory, Golden CO (United States)
- Delft Center for Systems and Control, Delft University of Technology, Delft (Netherlands)
Wind turbines are typically operated to maximize their performance without considering the impact of wake effects on nearby turbines. Wind plant control concepts aim to increase overall wind plant performance by coordinating the operation of the turbines. This paper focuses on axial-induction-based wind plant control techniques, in which the generator torque or blade pitch degrees of freedom of the wind turbines are adjusted. The paper addresses discrepancies between a high-order wind plant model and an engineering wind plant model. Changes in the engineering model are proposed to better capture the effects of axial-induction-based control shown in the high-order model.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1249408
- Report Number(s):
- NREL/JA-5000-63908
- Journal Information:
- Wind Energy, Vol. 19, Issue 6; ISSN 1095-4244
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
Similar Records
Analysis of axial‐induction‐based wind plant control using an engineering and a high‐order wind plant model
Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control
Clemson University Wind Turbine Drivetrain Test Facility
Journal Article
·
Fri Aug 14 00:00:00 EDT 2015
· Wind Energy
·
OSTI ID:1249408
+2 more
Maximization of the annual energy production of wind power plants by optimization of layout and yaw-based wake control: Maximization of wind plant AEP by optimization of layout and wake control
Journal Article
·
Tue May 24 00:00:00 EDT 2016
· Wind Energy
·
OSTI ID:1249408
+2 more
Clemson University Wind Turbine Drivetrain Test Facility
Technical Report
·
Wed Mar 30 00:00:00 EDT 2016
·
OSTI ID:1249408