FSMC for PWM rotor side converter in DFIG-based wind turbine system

Es-Sarraj, Hamza; Bakri, Ayoub El; Alaoui, Rim Mrani; Boumhidi, Ismail

doi:10.1109/iscv54655.2022.9806083

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…Within this category, different or similar techniques are combined to significantly enhance system durability. Examples of such hybrid strategies include synergetic-SMC [36], backstepping-SMC [37], synergetic-super twisting algorithm [38], neuro-SMC [39], Fuzzy-SMC [40], and neural DPC [41], among others.…”

Section: Introductionmentioning

confidence: 99%

Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile

Chojaa,

Derouich,

Zamzoum

et al. 2023

IEEE Access

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This research work addresses the challenge of controlling a wind energy conversion system (WECS) connected to the grid, which incorporates a battery energy storage system and operates under varying real wind speed profiles. The system comprises a Doubly-Fed Induction Generator (DFIG) connected to the grid through an AC/DC/AC converter, along with a Li-ion battery pack storage unit linked to the Back-to-Back converter DC via a DC/DC converter. The study highlights that internal parametric variations and the non-linear behavior of the wind turbine negatively affect the energy quality produced, as well as the battery charging performance and its overall lifespan. To overcome these issues, the research proposes a robust control strategy based on Integral action Sliding Mode Control (ISMC) to independently manage the powers of the WECS, particularly the DFIG, to enhance dynamic performance. Furthermore, effective battery charging and discharging controllers are crucial for efficiently distributing the generated power to both the grid and the storage unit, ensuring proper energy extraction and battery charging/discharging. Depending on the battery's State of Charge (SOC), the available extracted energy, and the power injected into the grid, two current regulation modes are employed: buck charging mode and boost discharging mode. A storage system energy management algorithm is then utilized to determine the appropriate charging mode, ensuring battery safety. To validate the system's performance, a 1.5 MW wind power conversion system is tested using Matlab/Simulink simulations. The results demonstrate the robustness and efficiency of the proposed control approach in enhancing the overall system's performance.

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Section: Introductionmentioning

confidence: 99%

Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile

Chojaa,

Derouich,

Zamzoum

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…All of these studies focus on wind turbines with small rated-sizes (0.2 kW -8 kW). Most of these studies aim was to develop a wind turbine emulator or to develop a maximum power point tracking algorithm [5], [29], [38]- [48]. Only one study provides details on the power coefficient trend reference and on the method for obtaining the correlation coefficients [38].…”

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confidence: 99%