Hybrid Intelligent Feedforward-Feedback Pitch Control for VSWT With Predicted Wind Speed

• Published in: IEEE transactions on energy conversion Vol. 36; no. 4; pp. 2770 - 2781
• Main Authors: Jiao, Xuguo, Yang, Qinmin, Xu, Bin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial intelligence; Control systems; Data acquisition; Data transmission; Feedback control; Feedforward control; Feedforward systems; hybrid feedforward-feedback pitch angle control; Hybrid systems; Load modeling; loads optimization; Optimization; Particle swarm optimization; Pitch (inclination); Predictive models; Rotor speed; Rotors; Service life; Support vector machines; Swarm intelligence; System effectiveness; Uncertainty; uncertainty and disturbance estimator; variable-speed wind turbine; Wind power; Wind speed; Wind turbines
• ISSN: 0885-8969; 1558-0059
• DOI: 10.1109/TEC.2021.3076839

Although wind power has gained tremendous development in recent years, how to achieve mechanical loads optimization to extend service life-time of wind turbines is still a hot and challenging topic. In this study, artificial intelligence and advanced control techniques are combined to approach this objective for variable-speed wind turbine systems operating in high-speed region. First, the real-time information of effective wind speed is extracted and predicted via support vector regression (SVR) by exploiting data stream acquired online. Optimization of the support vector regression's parameters is completed by the particle swarm optimization algorithm. Subsequently, the predicted wind speed is routed to a novel feedforward mechanism designed to build a nonlinear relationship between wind speed and pitch angle. Additionally, an uncertainty and disturbance estimator (UDE) based feedback controller is implemented to deal with the model uncertainties and external disturbances. Both loads optimization and rotor speed/generator power regulation are achieved via strict math analysis. Finally, extensive comparison studies between the proposed scheme and traditional pitch angle controllers are conducted on GH bladed platform to verify the feasibility and effectiveness of the proposed scheme.