Fuzzy Rotor Side Control of a DFIG-Based Wind Turbine

Djeridane, Mohammed Elkacem; Mechgoug, Raihane; Ajgou, Riadh; Chemsa, Ali

doi:10.1109/ccee.2018.8634482

Cited by 3 publications

(2 citation statements)

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“…Fuzzy control can provide desirable control performance for DFIG-WTs during severe disturbances such as three-phase short-circuit faults and sudden changes in wind speed, while linear control schemes cannot predict the behavior of DFIGs correctly in this case [77,78]. The fuzzy logic controller is known for its adaptability to nonlinear systems and the function of reducing computational complexity.…”

Section: Nonlinear Rsc Internal Controlmentioning

confidence: 99%

“…The fuzzy logic controller is known for its adaptability to nonlinear systems and the function of reducing computational complexity. In Reference [78], two fuzzy logic controllers were implemented in RSCs. One was applied to control the direct current proportional to the generated reactive power, and the other was applied to control the quadrature current proportional to the generated active power.…”

Section: Nonlinear Rsc Internal Controlmentioning

confidence: 99%

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Low-Voltage Ride-Through Techniques in DFIG-Based Wind Turbines: A Review

Qin

Zhou

et al. 2020

Applied Sciences

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In recent years, considerable advances were made in wind power generation. The growing penetration of wind power makes it necessary for wind turbines to maintain continuous operation during voltage dips, which is stated as the low-voltage ride-through (LVRT) capability. Doubly fed induction generator (DFIG)-based wind turbines (DFIG-WTs), which are widely used in wind power generation, are sensitive to disturbances from the power grid. Therefore, several kinds of protection circuits and control methods are applied to DFIG-WTs for LVRT capability enhancement. This paper gives a comprehensive review and evaluation of the proposed LVRT solutions used in DFIG-WTs, including external retrofit methods and internal control techniques. In addition, future trends of LVRT solutions are also discussed in this paper.

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Section: Nonlinear Rsc Internal Controlmentioning

confidence: 99%

Section: Nonlinear Rsc Internal Controlmentioning

confidence: 99%