A novel DPC approach for DFIG-based variable speed wind power systems using DSpace

• Published in: IEEE access Vol. 11; p. 1
• Main Authors: Chojaa, Hamid, Derouich, Aziz, Zamzoum, Othmane, Mahfoud, Said, Taoussi, Mohammed, Albalawi, Hani, Benbouhenni, Habib, Mosaad, Mohamed I.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01-01-2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Active control; Artificial neural network; Artificial neural networks; DFIG; Digital signal processing; digital signal processor; digital signal processor-dSPACE DS1104; Digital signal processors; direct power control; Doubly fed induction generators; Dynamic response; Electric power grids; Energy conversion; Generators; Induction generators; Mathematical models; Microprocessors; Ripples; Torque; variable wind speeds; Wind energy; Wind power; Wind speed; Wind turbines
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2023.3237511

The integration of wind energy systems into the electric grid has become inevitable despite the many problems associated with this integration. Most of these problems are due to variations in wind speed. The problems are for example oscillations in the power generated, which implies the lack of guarantee of obtaining the maximum energy and the ripple in the electromechanical torque of the generator. This work aims at mitigating these problems for wind energy conversion system-driven doubly-fed induction generator (DFIG), which is the dominant generator used in wind energy applications. This mitigation is performed through direct reactive and active powers control of the DFIG using an artificial neural network. A DSP (Digital Signal Processor - dSPACE DS1104) was used to experimentally test the proposed strategy. The dynamic performances of the controlled generator are analyzed by using the designed intelligent strategy in the case of variable wind speeds and upon sudden change of the active power demand. Based on the obtained experimental results, it can be said that the designed intelligent strategy is more effective and robust than the classical techniques such as direct power control (DPC) and vector control in terms of reducing current harmonics, and torque fluctuations, and enhancing dynamic response.