Small Wind Energy Systems

Simões, Marcelo Godoy; Farret, Felix A.; Blaabjerg, Frede

doi:10.1080/15325008.2015.1029057

Cited by 17 publications

(2 citation statements)

References 19 publications

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“…Additionally, the DFIG in generator mode enables the production of electrical energy at constant frequency and variable mechanical speed. Additionally, she provides a broad operational range in comparison to a squirrel cage induction generator (Cheng & Zhu, 2014;Simões et al, 2015). The interested reader is referred to ref for more information about different WES (Dani et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Generalized Predictive Control of the Active and Reactive Stator Powers of the DFIG for Wind Energy Generation

MELLAH,

MAAFA,

SAHRAOUI

et al. 2023

EPSTEM

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This paper proposes a Generalized Predictive Control (GPC) strategy for Wind Power Generation (WPG) based on a doubly fed induction generator (DFIG). The objective is to study and apply a robust active and reactive power control strategy based on GPC of the DFIG, this is likely to optimize the energy production and improve the quality of the energy produced. In order to maximize the amount of WPG taken even when the turbine is uncertain or the wind speed varies abruptly, the design is built utilizing the Maximum Power Point Tracking (MPPT) theory. Through numerical modeling with the aid of the Matlab/Simulink software, the predictive control (GPC) of the active and reactive stator powers of the DFIG was validated. A comparison between the GPC of the GADA and the indirect method based on a typical PI controller is developed in order to illustrate the viability of the suggested method. According to the simulation results of this comparison, the suggested method is viable and has promising results.

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Section: Introductionmentioning

confidence: 99%

Generalized Predictive Control of the Active and Reactive Stator Powers of the DFIG for Wind Energy Generation

MELLAH,

MAAFA,

SAHRAOUI

et al. 2023

EPSTEM

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“…In particular, the speed tracking performance must be maximized for a satisfactory maximum power point tracking (MPPT) control [7].…”

Section: Introductionmentioning

confidence: 99%

Robust Offset-Free Speed Tracking Controller of Permanent Magnet Synchronous Generator for Wind Power Generation Applications

Kim

Lee

2018

Electronics

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This article presents a robust speed tracking algorithm for a permanent magnet synchronous generator utilized for wind power generation systems, considering the machine parameter and load uncertainties. There are two major contributions: (a) a disturbance observer is designed to exponentially estimate disturbances from the model-plant mismatches and severe load torque variations, and (b) it is included in a nonlinear cascade-type proportional speed tracking controller to establish the performance recovery and offset-free properties without the use of tracking error integrators. A simulation result numerically verifies the effectiveness of the proposed technique, where the PowerSIM software emulates a wind power generation system.

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Modeling Electrical Machines

Simes¹,

Farret

2016

Modeling Power Electronics and Interfacing Energy Conversion Systems

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Small Wind Energy Systems

Cited by 17 publications

References 19 publications

Generalized Predictive Control of the Active and Reactive Stator Powers of the DFIG for Wind Energy Generation

Generalized Predictive Control of the Active and Reactive Stator Powers of the DFIG for Wind Energy Generation

Robust Offset-Free Speed Tracking Controller of Permanent Magnet Synchronous Generator for Wind Power Generation Applications

Modeling Electrical Machines

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