Analyse et contrôle des parcs éoliens flottants pour la maximisation de la puissance produite via la relocalisation des plateformes en temps réel

Abstract

As offshore wind capacity is expected to increase substantially in the coming years, floating wind turbines are anticipated to make a significant contribution to the global installed capacity. However, floating wind turbines face several issues induced by wind and wave excitations that can lead to excessive structural response and eventually failure. Moreover, aerodynamic interactions between the wind turbines within a wind farm reduce the overall energy production while damaging downstream turbines. In this study, a Model Predictive Control (MPC)-based controller is designed, capable of repositioning the floating wind turbine platforms to achieve predefined target positions and regulate their power production while ensuring their structural stability. The adopted control strategy relies on the direct manipulation of the thrust force and only utilizes the conventional control inputs which are available on most wind turbine models, without requiring additional actuators. The proposed controller also accounts for the environmental disturbances and satisfies the system constraints to ensure a good performance and safe operation of the floating wind turbines. The position control is then carried out on two levels. Firstly, a single floating wind turbine was considered to evaluate the controller's ability to meet established objectives. Secondly, a floating wind farm was examined to assess the contribution of turbine repositioning on the overall production of the wind farm and on the mitigation of wake effect. The simulation results demonstrated the controller's ability to accurately regulate the position and power output of a floating wind turbine while ensuring its structural stability in the presence of external disturbances. Furthermore, the results emphasized the potential advantages that can be achieved through turbine repositioning, such as mitigating the wake effects and optimizing the power output in a wind farm composed of three floating wind turbines.

Date	5 Jun 2023
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Reda Snaiki (Supervisor)