Real-Time Repositioning of Floating Wind Turbines Using Model Predictive Control for Position and Power Regulation

Abstract

As offshore wind capacity could grow substantially in the coming years, floating offshore wind turbines (FOWTs) are particularly expected to make a significant contribution to the anticipated global installed capacity. However, FOWTs are prone to several issues due partly to environmental perturbations and their system configuration which affect their performances and jeopardize their structural integrity. Therefore, advanced control mechanisms are required to ensure good performance and operation of FOWTs. In this study, a model predictive control (MPC) is proposed to regulate FOWTs’ power, reposition their platforms to reach predefined target positions and ensure their structural stability. An efficient nonlinear state space model is used as the internal MPC predictive model. The control strategy is based on the direct manipulation of the thrust force using three control inputs, namely the yaw angle, the collective blade pitch angle, and the generator torque without the necessity of additional actuators. The proposed controller accounts for the environmental perturbations and satisfies the system constraints to ensure good performance and operation of the FOWTs. A realistic scenario for a 5-MW reference wind turbine, modeled using OpenFAST and Simulink, has been provided to demonstrate the robustness of the proposed MPC controller. Furthermore, the comparison of the MPC model and a proportional-integral-derivative (PID) model to satisfy the three predefined objectives indicates the superior performances of the MPC controller.

A Dynamic Control Model of the Blades Position for the Vertical-Axis Wind Generator by a Program Method

“…The mechanism described in the article is designed to control the blades of a wind generator (1) effectively. It utilizes a lever system (2) that is mounted on a movable disk (6). The key component in the system is the motor (4), which initiates the rotation.…”

“…Ensuring the reliability and accuracy of this communication network is vital to the smooth operation and performance of wind turbines. Ongoing research and development in the field of dynamic blade control systems for vertical axis wind turbines holds great promise for the future of renewable energy [6]. The combination of advanced mathematical modeling, data-driven control algorithms, and innovative materials paves the way for significant advances in energy efficiency, system reliability, and profitability of wind power generation.…”

“…In 2022, for the first time in the EU, solar and wind energy came out on top in terms of generation, overtaking all other sources. Combined, wind and solar energy provided a record fifth of the EUs electricity (22.3%)-a contribution larger for the first time than either nuclear (21.9%) or gas (19.9%) generation [6]. According to the Union of the Electricity Industry, Eurelectric, two-thirds of the electricity generated in Europe in the first half of 2023 is carbon-free [7].…”

Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research

“…The design and operation of the wind turbine yaw system is extremely important, as it has a direct impact on the operating efficiency and power generation of the wind turbine. Therefore, the yaw system requires sensitive response and high accuracy, as well as strong durability, anti-interference capability, and adaptability to different climatic environments [14].…”