Optimization with genetic algorithms of individual pitch control design with and without azimuth offset for wind turbines in the full load region
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference12 articles.
1. Control Tuning by Genetic Algorithm of a Low Scale Model Wind Turbine;Andrade,2023
2. Development of Hardware-in-the-Loop-Simulation Testbed for Pitch Control System Performance Test;Cheon;Energies,2019
3. Design optimization of a wind turbine blade to reduce the fluctuating unsteady aerodynamic load in turbulent wind;Jeong;J Mech Sci Technol,2012
4. Definition of a 5-MW reference wind turbine for offshore system development;Jonkman,2009
5. Adaptive Pitch Controller of a Large-Scale Wind Turbine Using Multi-Objective Optimization;Lara;Applied Sciences,2021
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Hybrid sand cat‐galactic swarm optimization‐based adaptive maximum power point tracking and blade pitch controller for wind energy conversion system;International Journal of Adaptive Control and Signal Processing;2024-08-30
2. On the Optimal Azimuth Offset for Individual Pitch Control in Aeroelastic Code Coupled with a High-Fidelity Flow Solver;2024 European Control Conference (ECC);2024-06-25
3. Optimal tuning of individual pitch control using economic goal-oriented objectives;Journal of Physics: Conference Series;2024-06-01
4. Multi-objective calibration of vertical-axis wind turbine controllers: balancing aero-servo-elastic performance and noise;Wind Energy Science;2024-03-01
5. Analysis of Adaptive Individual Pitch Control Schemes for Blade Fatigue Load Reduction on a 15 MW Wind Turbine;Applied Sciences;2023-12-25
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