Third‐order super‐twisting control of a double stator asynchronous generator integrated in a wind turbine system under single‐phase open fault

Guettab, Abdelkader; Bounadja, Elhadj; Boudjema, Zinelaabidine; Taleb, Rachid

doi:10.1002/cta.3511

Circuit Theory & Apps

2022

DOI: 10.1002/cta.3511

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Third‐order super‐twisting control of a double stator asynchronous generator integrated in a wind turbine system under single‐phase open fault

Abdelkader Guettab

Elhadj Bounadja

Zinelaabidine Boudjema

et al.

Abstract: This paper deals with the control approach enhancement of a wind power generation system (WPGS) based on a double stator asynchronous generator (DSAG) under single-phase open fault (SPOF). This type of machine, which col-

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2024

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Cited by 15 publications

References 61 publications

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Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes

Yahdou,

Djilali,

Bounadja

et al. 2024

Circuit Theory & Apps

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SummaryAccording to recent research work, increasing electric power generation is one of the significant advantages of the dual‐rotor wind turbine (DRWT) compared to the other types for the same wind speed. In this research work, a modified super‐twisting sliding mode control (STSMC) based on the neural network (NN) is suggested to regulate the stator powers of a DRWT‐based doubly‐fed induction generator (DFIG) in normal and unbalanced grid fault modes. The design of this strategy involves replacing the gains of conventional STSMC with the NN algorithm to enhance robustness, mitigate the impact of unbalanced grid voltage, and consequently improve the quality of the generated power of DRWT‐based DFIG. This forms the primary contribution of this work. The suggested strategy is compared with vector control (VC) and conventional STSMC in terms of reference tracking, power ripples, response dynamics, harmonic distortion of stator current, and the effect of an unbalanced grid fault. Finally, the utility and effectiveness of the designed controller are confirmed through computer simulations. Furthermore, when the grid is subjected to a 20% voltage drop, the results demonstrate that the suggested strategy reduced the total harmonic distortion (THD) value of the stator current by 12.92% compared to VC and by 9.29% compared to conventional STSMC.

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Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes

Yahdou,

Djilali,

Bounadja

et al. 2024

Circuit Theory & Apps

View full text Add to dashboard Cite

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Modified third‐order sliding mode control with adaptive gains for a multiphase PMSG wind turbine under double‐phase open fault

Bounadja,

Belhadj Djilali,

Yahdou

2024

Circuit Theory & Apps

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Wind energy production systems (WEPS) are increasingly vital in the transition to renewable energy sources, with permanent magnetic synchronous generators (PMSG) being widely adopted due to their high efficiency and reliability. Developing robust control methods is essential to ensure that WEPS operate efficiently even under adverse conditions. This study focuses on optimizing control strategies for WEPS utilizing a 5‐phase PMSG and addresses challenges posed by double‐phase open fault (DPOF) scenarios. Unlike conventional second‐order sliding mode control (SOSMC) based on the super‐twisting algorithm (STA), the proposed method enhances performance by elevating the sliding surface time derivative degree to a third order and modifying the discontinuous term of STA with an arctangent function, promising to reduce chattering effects. Additionally, an adaptation law adjusts the improved STA gains, forming adaptive‐gain third‐order sliding mode control (AG‐TOSMC), which outperforms SOSMC under various disturbances such as wind speed fluctuations, parameter changes, and DPOF scenarios. The AG‐TOSMC enhances the quality of active and reactive power by reducing fluctuation ratios compared with the SOSMC. The efficiency of WEPS increases to 98.5% with AG‐TOSMC, surpassing the 93.5% achieved with SOSMC. Additionally, a DPOF test confirms the aptitude of the 5‐phase PMSG to work under degraded circumstances, supplying appropriate electrical power to the network without significant adverse effects. Numerical simulations validate the efficiency of the suggested WEPS and its control, demonstrating superior performance achieved with AG‐TOSMC.

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SABO optimization algorithm-based backstepping controller for DSIG within a wind turbine system

Benzaoui,

Bouguerra,

Zeghlache

et al. 2024

Electr Eng

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Third‐order super‐twisting control of a double stator asynchronous generator integrated in a wind turbine system under single‐phase open fault

Abstract: This paper deals with the control approach enhancement of a wind power generation system (WPGS) based on a double stator asynchronous generator (DSAG) under single-phase open fault (SPOF). This type of machine, which col-

Cited by 15 publications

References 61 publications

Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes

Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes

Modified third‐order sliding mode control with adaptive gains for a multiphase PMSG wind turbine under double‐phase open fault

SABO optimization algorithm-based backstepping controller for DSIG within a wind turbine system

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