2024-code-Comparison-and-Combination-of-Axial-Induction-and-Wake-Redirection-Control-for-Wind-Farm-Power-Output-Maximisation-and-Grid-Power-Reference-Tracking
This folder contains supplementary documentation and code to reproduce the results and figures presented in the paper
A. Dittmer, B. Sharan and H. Werner, "Comparison and Combination of Axial Induction and Wake Redirection Control for Wind Farm Power Output Maximisation and Grid Power Reference Tracking"
accepted at the 23rd Wind & Solar Integration Workshop, 2024.
It may be used to recreate the simulation results and figures from the paper. To do so, run the script mainGeneratePlotsWISO.m.
Running the simulation for the first time takes roughly 20 minutes using a laptop with an 11th Gen Intel(R) Core(TM) i7-11850H @ 2.50GHz processor. This is due to data in WFSim beiing generated to design the Koopman matrix used in the Koopman MPC. Once the Koopman matrix is available, the figures are generated in approximately 20 seconds. The output of the FLORIS optimization and the FAST.FArm simulation is provided as *.mat files.
This paper uses the same slightly modified WFSim environment and MPC design which we describe in
The simulations WindFarmSimulator (WFSim) developed by Doekemeijer and Boersma on GitHub is utilized. WFSim is used both for data generation in open loop to design the Koopman matrix and for closed loop testing.
FLORIS (FLOw Redirection and Induction in Steady State) from NREL (National Renewable Energy Laboratory) is available on GitHub is utilized for yaw optimization in steady-state.
The simulation FAST.Farm is part of OpenFAST from NREL and available here on GitHub. It is used for load analysis.
The code in this repository was tested in the following environment:
- Windows 10 Enterprise 21H2
- Matlab 2021b (Toolboxes used: Control System Toolbox, Optimization Toolbox, and Global Optimization Toolbox)