Model Predictive Speed Control of a Wind Turbine System Test Bench

Leisten, Christian; Jassmann, Uwe; Balshüsemann, Johannes; Abel, Dirk

doi:10.1016/j.ifacol.2018.11.408

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…where 𝜌 is the air density, R is the blade radius, V is the wind speed and Cp(λ,β) de notes the power coefficient of the wind turbine, which is a function of both tip-speed-ratio l and blade pitch angle β. The mechanical torque of the turbine Ta is given [13] .…”

Section: Structur Systemmentioning

confidence: 99%

Control of turbine speed based Genetic Algorithm Regulator for the wind speed connected to PMSG

2023

Proceeding Book of 3rd International Conference on Scientific and Academic Research ICSAR 2023

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This paper proposes a control strategy for a wind energy conversion system equipped with a permanent magnet synchronous generator connected to the electrical grid. The controller parameters are synthesized using a genetic optimization algorithm. This control strategy is validated by numerical simulations at different wind speeds. The dynamic performance analysis proves the effectiveness of the control adopted, in fact, a good robustness. In addition, the performance of the mechanical turbine speed response obtained with a speed controller based on the genetic algorithm has been compared with that obtained with a conventional PI_controller. The efficiency of the structure under consideration is validated using MATLAB Simulink simulations .

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Section: Structur Systemmentioning

confidence: 99%