Nonlinear adaptive power tracking control of variable-speed wind turbines

Gamez, Manuel; Penaloza, Ollin

doi:10.1177/0959651818791675

Cited by 3 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This principle of enhancing wind energy conversion should be met by ensuring the safety and integration of WECS technologies such as generators, power electronics converters, and grids. According to research reports [ 32 , 33 ], WECS technologies have promisingly improved recently, and this has enabled to maximize wind power generation at fewer costs. In addition, researchers and engineers are still working to further improve the efficiency of WECSs in order to get further optimized output power with lower costs.…”

Section: Introductionmentioning

confidence: 99%

Wind energy conversion technologies and engineering approaches to enhancing wind power generation: A review

Desalegn

Gebeyehu²,

Tamirat³

2022

Heliyon

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Wind energy conversion technologies and engineering approaches to enhancing wind power generation: A review

Desalegn

Gebeyehu²,

Tamirat³

2022

Heliyon

View full text Add to dashboard Cite

“…The technological improvement of wind turbine system over the last decades reduced generation cost, which improved competitiveness with compare to the conventional energy generation system. 1,2 Researchers have attempted various system component design and controller design approach for horizontal axis wind turbine (HAWT) to improve system performance, operational safety and power generation cost reduction. [3][4][5][6][7] Blade element momentum (BEM) theory can be used for identification of desired torque for region II and pitch angle for region III to obtain maximum power and rated power, respectively.…”

Section: Introductionmentioning

confidence: 99%

Electrohydraulic proportional valve-controlled vane type semi-rotary actuated wind turbine control by feedforward fractional-order feedback controller

Venkaiah

Sarkar

2021

Proceedings of the Institution of Mechanical Engineers, Part I:

View full text Add to dashboard Cite

In this study, proportional valve-controlled semi-rotary electrohydraulic actuator proposed for horizontal axis wind turbine pitch movement. Semi-rotary actuator can be connected directly to the wind turbine blade, which reduces mechanical complexity compare to linear electrohydraulic actuator system. Adaptive torque control scheme has been adopted for the horizontal axis wind turbine in region II; however, adaptive pitch control has been adopted for region III. Optimum pitch demand and torque demand have been estimated through blade element momentum theory based on predicted wind speed. The control objective is to track maximum power through torque control in region II and to maintain rated power with structural safety by limiting thrust force in the region III. The proposed wind turbine model has been validated with 1.5-MW wind turbine experimental data. Feedforward fractional-order proportional–integral–derivative controller with adaptive teaching–learning based optimization algorithm has been developed for wind turbine control application. In region II, feedforward control signal generates due to torque demand and feedback control signal generates due to combined torque and pitch error. However, in region III, feedforward and feedback control estimated with pitch demand and combined pitch and torque error, respectively. The proposed controller performance has been tested with sinusoidal, step and actual wind data. The controller performance also compared with respect to other conventional controllers. Performance of the adaptive teaching–learning-based optimization has been compared with genetic algorithm and teaching–learning-based optimization process. Sensitivity analysis has been performed with proposed controller to check the effectiveness of the optimization. Furthermore, the proposed controller response has been compared with existing data of 1.5-MW wind turbine. Lyapunov-based stability analysis has been performed to ensure stability and convergence of the proposed system. Proposed controller performance has been found better compare to the existing result.

show abstract