Print Email Facebook Twitter Closed-loop model-based wind farm control using FLORIS under time-varying inflow conditions Title Closed-loop model-based wind farm control using FLORIS under time-varying inflow conditions Author Doekemeijer, B.M. (TU Delft Team Jan-Willem van Wingerden) van der Hoek, D.C. (TU Delft Team Jan-Willem van Wingerden) van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden) Date 2020 Abstract Wind farm (WF) controllers adjust the control settings of individual turbines to enhance the total performance of a wind farm. Most WF controllers proposed in the literature assume a time-invariant inflow, whereas important quantities such as the wind direction and speed continuously change over time in reality. Furthermore, properties of the inflow are often assumed known, which is a fundamentally compromising assumption to make. This paper presents a novel, closed-loop WF controller that continuously estimates the inflow and maximizes the energy yield of the farm through yaw-based wake steering. The controller is tested in a high-fidelity simulation of a 6-turbine wind farm. The WF controller is stress-tested by subjecting it to strongly-time-varying inflow conditions over 5000 s of simulation. A time-averaged improvement in energy yield of 1.4% is achieved compared to a baseline, greedy controller. Moreover, the instantaneous energy gain is up to 11% for wake-loss-heavy situations. Note that this is the first closed-loop and model-based WF controller tested for time-varying inflow conditions (i.e., where the mean wind direction and wind speed change over time) at such fidelity. This solidifies the WF controller as the first realistic closed-loop control solution for yaw-based wake steering. Subject Ambient condition estimationClosed-loop wind farm controlFLORISLarge-eddy simulationTime-varying inflowWake steering To reference this document use: http://resolver.tudelft.nl/uuid:09a5185c-4d86-404f-92b4-9e365ce3cf32 DOI https://doi.org/10.1016/j.renene.2020.04.007 ISSN 0960-1481 Source Renewable Energy, 156, 719-730 Part of collection Institutional Repository Document type journal article Rights © 2020 B.M. Doekemeijer, D.C. van der Hoek, J.W. van Wingerden Files PDF 1_s2.0_S0960148120305358_main.pdf 2.89 MB Close viewer /islandora/object/uuid:09a5185c-4d86-404f-92b4-9e365ce3cf32/datastream/OBJ/view