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

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 guar...

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Bibliographic Details
Published in:IEEE access 2023-01, Vol.11, p.1-1
Main Authors: Chojaa, Hamid, Derouich, Aziz, Zamzoum, Othmane, Mahfoud, Said, Taoussi, Mohammed, Albalawi, Hani, Benbouhenni, Habib, Mosaad, Mohamed I.
Format: Article
Language:English
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
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Summary: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3237511