FLORIS, optimization, wake model, WFLOP, wind farm, wind turbine wakes
The FLOw Redirection and Induction in Steady-state (FLORIS) model, a parametric wind turbine wake model that predicts steady state wake characteristics based on wind turbine position and yaw angle, was developed for optimization of control settings and turbine locations. This paper provides details on the recent changes made to the FLORIS model to make the model more suitable for gradient-based optimization. Changes to the FLORIS model were made to remove discontinuities and add curvature to regions of non-physical zero gradient. Exact gradients for the FLORIS model were obtained using algorithmic differentiation. A set of three case studies demonstrate that using exact gradients with gradient-based optimization reduces the number of function calls by several orders of magnitude. The case studies also show that adding curvature improves convergence behavior, allowing the FLORIS model to more reliably find better solutions to wind farm optimization problems.
Original Publication Citation
Thomas, J., Gebraad, P., and Ning, A., “Improving the FLORIS Wind Plant Model for Compatibility with Gradient-Based Optimization,” Wind Engineering, Vol. 41, No. 5, pp. 313–329, Aug. 2017. doi:10.1177/0309524X17722000
BYU ScholarsArchive Citation
Thomas, Jared; Gebraad, Pieter; and Ning, Andrew, "Improving the FLORIS Wind Plant Model for Compatibility with Gradient-Based Optimization" (2017). All Faculty Publications. 1958.
Ira A. Fulton College of Engineering and Technology
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