Abstract

This work presents the next step in realizing lidar-based closed-loop wake redirection control. Lidar-based closed-loop wake redirection aims at repositioning the wake at a desired position by yawing the wind turbine. The actual wake deflection is derived from lidar measurements and used in a closed-loop control scheme. Compared to an open-loop setting in which temporal changes are not taken into account, lidar-based closed-loop wake redirection can react on temporal disturbances. This yields a more robust control solution due to the employed closed-loop control framework. In this work, for the first time, the concept is implemented in an LES environment namely the PArallelized Large-eddy simulation Model (PALM) code. In PALM lidar measurements are simulated using a lidar model which are processed to estimate the wake position. A controller is synthesized by the usage of a the reduced order wind farm model WindFarmSimulator (WFSim). High-fidelity simulation results illustrate the controller’s ability to adapt to a temporal changing crosswind disturbance in a turbulent simulation scenario. Consequently, it increases the power output of the two-turbine scenario compared to the open-loop approach.

Highlights

  • The European Union aims to reach a renewable energy share of 35% by 2020, see [1]

  • The size of wind turbines have enormously increased and huge wind farms have been built in which the turbines are clustered

  • The controller was synthesized by using a medium-fidelity CFD simulation model in which an input-output model parametrization was performed

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Summary

Introduction

The European Union aims to reach a renewable energy share of 35% by 2020, see [1]. Wind energy is presently seen to be one of the key technologies to meet the future renewable energy goals. The challenges in wind energy research have changed from pioneering the technology to making it financially competitive and mature. Wind farms even reach total energy production capacities 169 GW comparable to conventional power plants (coal: 150 GW, gas: 190 GW), see [2]. With this development, the flow interaction between wind turbines becomes more and more important, since upwind turbines detract the energy yield of downwind turbines

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