Dynamic Flow Modelling for Model-Predictive Wind Farm Control
Maarten J. Van Den Broek,Jan-Willem van Wingerden +1 more
- 01 Sep 2020
- Vol. 1618, Iss: 2, pp 022023
TL;DR: In this paper, a closed-loop, economic model-predictive control approach for wind farms is presented, which is constructed from first principles using open-source tools to be suitable for adjoint-based optimisation of turbine yaw angles.
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Abstract: We aim to improve wind farm control for power output by building on the results from WFSim for the development of a dynamic wind farm model. This model will be part of a closed-loop, economic model-predictive control approach for wind farms. It is constructed from first principles using open-source tools to be suitable for adjoint-based optimisation of turbine yaw angles. In a steady-state inflow configuration with two turbines, the new control model matches power expectations from high fidelity simulations in SOWFA to within 15 %. Under time-varying wind directions, it shows time delays in wake direction as inflow changes propagate through the farm with the wind speed, although the dynamics still differ from the SOWFA reference. The model runs flow simulations for a wind farm with a 3 x 3 array of turbines at a real-time order of magnitude on a regular laptop computer. The new control model shows dynamic flow behaviour as wake changes propagate through the wind farm. Some further adjustments are necessary to accurately model three-dimensional flow in two dimensions. With more validation of the wake dynamics, it will be suitable for application in a new closed-loop wind farm controller.
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Citations
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References
•Book
Automated Solution of Differential Equations by the Finite Element Method: The FEniCS Book
Anders Logg,Kent-Andre Mardal,Garth N. Wells +2 more
- 24 Feb 2012
TL;DR: This book is a tutorial written by researchers and developers behind the FEniCS Project and explores an advanced, expressive approach to the development of mathematical software.
2.8K
Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study
P.M.O. Gebraad,F. W. Teeuwisse,J.W. van Wingerden,Paul Fleming,Shalom D. Ruben,Jason R. Marden,Lucy Y. Pao +6 more
TL;DR: In this article, a wind plant control strategy that optimizes the yaw settings of wind turbines for improved energy production of the whole wind plant by taking into account wake effects is presented.
693
Wind farm power optimization through wake steering.
TL;DR: A wake steering control scheme that maximizes the power of a wind farm through yaw misalignment that deflects wakes away from downstream turbines was developed and tested in an operational wind farm in Alberta, Canada, resulting in statistically significant power increases.
358
Automated Derivation of the Adjoint of High-Level Transient Finite Element Programs
TL;DR: A new technique for deriving discrete adjoint and tangent linear models of a finite element model using the FEniCS finite element form compiler, which is significantly more efficient and automatic than standard algorithmic differentiation techniques.
291
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1
Paul Fleming,Jennifer King,Katherine Dykes,Eric Simley,Jason Roadman,Andrew Scholbrock,P. Murphy,P. Murphy,Julie K. Lundquist,Julie K. Lundquist,Patrick Moriarty,Katherine Fleming,Jeroen van Dam,Christopher J. Bay,Rafael Mudafort,Lopez Hector K,Skopek Jason R,Michael Anthony Scott,Brady Ryan,Charles Guernsey,Dan Brake +20 more
- 20 May 2019
TL;DR: In this paper, the first phase of a study of wake steering at a commercial wind farm, two turbines implement a schedule of offsets to affect wakes in order to yield an increase in total energy production.