Voltage oriented control of self-excited induction generator for wind energy system with MPPT

Amieur, Toufik; Taibi, Djamel; Amieur, Oualid

doi:10.1063/1.5039254

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…In some cases, the maximum power point tracking (MPPT) algorithm that drives the operating points near optimality can accomplish voltage control in SEIG. In the MPPT controller-based approaches, the turbine speed increases so that the system will provide higher power [18]. The most popular approach in SEIG-based WT is the fuzzy logic (FL) )-based controllers.…”

Section: Introductionmentioning

confidence: 99%

Control of self-excited induction generator based wind turbine using current and voltage control approaches

Ratheesh,

Vins

2023

QJES

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The self-excited induction generator (SEIG) is widely applied in the wind energy conversion system (WECS) to enhance power generation. The power generation from WECS is varied in terms of varying wind speed. Hence, to improve the working of SEIG-based WECS, the multi-stage coati optimized proportional integral (CPI) fractional order proportional integral derivative (FOPID) controller is proposed in this work. The proposed coati optimized proportional integral - fractional order proportional integral derivative controls the SEIG’s grid side converter and generator side converter. The coati optimization algorithm optimizes the controller parameters of a proposed multi-state controller. The proposed CPI-FOPID controls both the voltage at the grid side converter and the current at a generator side converter. Moreover, the pitch angle of the wind turbine (WT) is controlled by the fuzzy-based tilt integral derivative (F-TID) controller. The proposed work will be implemented on the Matlab/Simulink platform, and the THD of 0.63% has proven the efficacy of the proposed methodology.

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Section: Introductionmentioning

confidence: 99%