Title: A complete ultra-large wind turbine emulator for wind harvest evaluation: design and implementation

Authors: Wael Farag; Mohamed Abouelela; Magdy Helal

Addresses: College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait ' College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait ' College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait

Abstract: A comprehensive 5-MW wind turbine emulator's design and implementation are designed and investigated thoroughly in this paper. A separately excited DC motor set under the control of a current-controlled drive forms the basis of the suggested emulation. The emulation algorithms that simulate the features of the 5-MW wind turbine are run on a digital signal processor (DSP). These algorithms regulate the DC motor's current, which in turn regulates the torque. The results obtained demonstrate that the system was successful in accurately simulating the transient and steady-state characteristics of the 5-MW wind turbine. The emulator system was initially tested and validated with simulation results using MATLAB/Simulink code attached to both the FAST and TurbSim models. Furthermore, step and stochastic wind profiles were used to experimentally verify and test it. Nearly all of the power that is available in the wind turbine system is successfully obtained using the maximum power point tracking technique, which is used to find the best operating point. The created wind turbine emulator can be used to precisely assess energy harvesting by examining various mechanical and electrical properties of the permanent magnet synchronous generator (PMSG) vastly used in ultra-large wind turbine nacelles.

Keywords: DC motor; digital signal processor; DSP; emulation; FAST; permanent magnet synchronous generator; PMSG; simulation; TurbSim; wind energy; wind turbine; wind harvest.

DOI: 10.1504/IJAAC.2024.139437

International Journal of Automation and Control, 2024 Vol.18 No.4, pp.444 - 466

Received: 22 Dec 2022
Accepted: 26 Jun 2023
Published online: 02 Jul 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article