Implementation and Performance Assessment of a DFIG-Based Wind Turbine Emulator Using TSR-Driven MPPT for Enhanced Power Extraction
Source abstract
Abstract
This study presents the development and experimental validation of a novel wind turbine emulator (WTE) based on a doubly fed induction generator (DFIG). The proposed architecture employs an induction motor (IM) driven by a variable frequency drive (VFD) to emulate wind turbine dynamics, offering a cost-effective and low-maintenance alternative to traditional DC motor-based systems. The contribution of this work lies, therefore, not in the hardware topology itself, but in the complete real-time software implementation of the control system using C language and RTLib, which enables higher sampling rates, faster PWM updates, and improved execution reliability compared with standard Simulink/RTI approaches. The proposed control structure integrates tip–speed ratio (TSR)-based maximum power point tracking (MPPT) with flux-oriented vector control of the DFIG, fully coded in C to provide optimized real-time performance. Experimental results confirm the emulator’s ability to accurately replicate real wind turbine behavior under varying wind conditions. The test bench demonstrates fast dynamic response, with rotor currents settling in 11–18 ms, and active/reactive powers stabilizing within 25–30 ms. Overshoots remain below 10%, and steady-state errors are limited to ±1 A for currents and ±100 W/±50 VAR for powers, ensuring precise power regulation. The speed tracking error is approximately 0.61 rad/s, validating the system’s ability to follow dynamic references with high accuracy. Additionally, effective decoupling between active and reactive loops is achieved, with minimal cross-coupling during step changes.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Wind Turbine Control Systems · Real-time simulation and control systems · Wind Energy Research and Development
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Université de Lorraine, GREEN, F-54000 Nancy, France
Université de Lorraine, CNRS, LEMTA, F-54000 Nancy, France
LAT, Laboratoire d’Automatique de Tlemcen, Université de Tlemcen, Tlemcen 13000, Algeria
Funding
European Union’s Horizon 2020 Research and Program
References (43)
Show source-provided references
1. Stability and Reactive Power Sharing Enhancement in Islanded Microgrid via Small-Signal Modeling and Optimal Virtual Impedance Control10.1155/2024/5469868 ↗
2. A review of recent control techniques of drooped inverter-based AC microgrids10.1002/ese3.1670 ↗
3. Advancing electric vehicle charging ecosystems with intelligent control of DC microgrid stability
4. Small-signal modelling and stability analysis of island mode microgrid paralleled inverters
5. Bennia, I., Elbouchikhi, E., Harrag, A., Daili, Y., Saim, A., Bouzid, A.E.M., and Kanouni, B. (2023). Design, modeling, and validation of grid-forming inverters for frequency synchronization and restoration. Energies, 17.10.3390/en17010059 ↗
6. A comprehensive review on wind turbine emulators10.1016/j.rser.2023.113297 ↗
7. Real-Time Emulation of a Grid-Connected Wind Energy Conversion System Based Double Fed Induction Generator Configuration under Random Operating Modes
8. A nonlinear maximum power point tracking technique for DFIG-based wind energy conversion systems
9. Ouari, K., and Belkhier, Y. (2024). Model predictive direct torque algorithm for coordinated electrical grid operation of wind energy conversion system-based doubly fed induction generator. Int. J. Model. Simul., 1–14.10.1080/02286203.2024.2371680 ↗
10. Modified demagnetisation control strategy for low-voltage ride-through enhancement in DFIG-based wind systems10.1049/iet-rpg.2019.1128 ↗
11. Rajendran, S., Diaz, M., Devi, V., Jena, D., Travieso, J., and Rodriguez, J. (2023). Wind Turbine Emulators—A Review. Processes, 11.10.3390/pr11030747 ↗
12. Bennia, I., Daili, Y., and Harrag, A. (2021). Hierarchical control of paralleled voltage source inverters in islanded single phase microgrids. Artificial Intelligence and Renewables Towards an Energy Transition 4, Springer.10.1007/978-3-030-63846-7_30 ↗
13. Grid-forming control of doubly-fed induction generators based on the rotor flux orientation10.1016/j.renene.2023.02.133 ↗
14. Grid side inverter control for a grid connected synchronous generator based wind turbine experimental emulator10.18280/ejee.230101 ↗
15. Lagrange interpolating polynomial–based deloading control scheme for variable speed wind turbines10.1002/2050-7038.2824 ↗
16. Black-Start Capability of DFIG Wind Turbines Through a Grid-Forming Control Based on the Rotor Flux Orientation10.1109/ACCESS.2021.3120478 ↗
17. Real-time monitoring of an electronic wind turbine emulator based on the dynamic PMSG model using a graphical interface10.1016/j.renene.2020.03.096 ↗
18. A fixed-time fractional-order sliding mode control strategy for power quality enhancement of PMSG wind turbine10.1016/j.ijepes.2021.107354 ↗
19. Energy-shaping L2-gain controller for PMSG wind turbine to mitigate subsynchronous interaction10.1016/j.ijepes.2021.107571 ↗
20. Inertia emulation control of PMSG-based wind turbines for enhanced grid stability in low inertia power systems10.1016/j.ijepes.2023.109740 ↗
21. State of the art perturb and observe MPPT algorithms based wind energy conversion systems: A technology review10.1016/j.ijepes.2020.106598 ↗
22. Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds10.1016/j.energy.2021.121039 ↗
23. A review of conventional and advanced MPPT algorithms for wind energy systems10.1016/j.rser.2015.11.013 ↗
24. Power optimization and control in wind energy conversion systems using extremum seeking10.1109/TCST.2014.2303112 ↗
25. Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines10.1016/j.energy.2015.06.027 ↗
26. Real time study of P&O MPPT control for small wind PMSG turbine systems using Arduino microcontroller10.1016/j.egypro.2017.03.263 ↗
27. A novel improved variable step-size incremental-resistance MPPT method for PV systems10.1109/TIE.2010.2064275 ↗
28. A review of maximum power point tracking algorithms for wind energy systems10.1016/j.rser.2012.02.016 ↗
29. Decentralized secondary control for frequency regulation based on fuzzy logic control in islanded microgrid
30. Open loop wind turbine emulator10.1016/j.renene.2013.09.019 ↗
31. Experimental study of variable speed wind generator contribution to primary frequency control10.1016/j.renene.2008.04.033 ↗
32. Modelling and Development of Wind Turbine Emulator for the Condition Monitoring of Wind Turbine
33. Development details and performance assessment of a wind turbine emulator10.1016/j.renene.2015.09.010 ↗
34. Emulation of wind turbine system using vector controlled induction motor drive10.1109/TIA.2020.2987993 ↗
35. A new hill climbing maximum power tracking control for wind turbines with inertial effect compensation10.1109/TIE.2019.2907510 ↗
36. An electromechanical emulation-based study on the behaviour of wind energy conversion systems during short circuit faults10.1016/j.enconman.2019.112401 ↗
37. De Oliveira, J.R., De Souza, W.G., Rocha, M.A., da Costa, C.F., Leão, J.V.F., and Andreoli, A.L. (2018, January 12–14). Wind turbine emulator using induction motor driven by frequency inverter and hardware-in-the-loop control. Proceedings of the 2018 13th IEEE International Conference on Industry Applications (INDUSCON), Sao Paulo, Brazil.10.1109/INDUSCON.2018.8627167 ↗
38. Real-time replication of a stand-alone wind energy conversion system: Error analysis10.1016/j.ijepes.2013.10.016 ↗
39. Development of a prime mover emulator using a permanent-magnsynchronous motor drive10.1109/TPEL.2017.2747221 ↗
40. Baghli, L., and Jamshidpour, E. (2022, January 29–31). Implementing a 200 kHz PWM Field Oriented Control using RTLib and C program on a dSPACE MicroLabBox. Proceedings of the 2022 2nd International Conference on Advanced Electrical Engineering (ICAEE), Constantine, Algeria.10.1109/ICAEE53772.2022.9962145 ↗
41. Abad, G., Lopez Taberna, J., Rodriguez, M., Marroyo, L., and Iwanski, G. (2011). Doubly Fed Induction Machine: Modeling and Control for Wind Energy Generation, Wiley.10.1002/9781118104965 ↗
42. Zouheyr, D. (2021). Contribution à la Commande d’un Simulateur HIL d’Éolienne et d’une Génératrice Asynchrone à Double Alimentation. [Ph.D. Thesis, Abou Bekr Belkaid University].
43. Power control of DFIG-generators for wind turbines variable-speed10.11591/ijpeds.v8.i1.pp444-453 ↗