Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation

Bossoufi, Badre; Karim, Mohamed Rehan; Lagrioui, Ahmed; Taoussi, Mohammed; Derouich, Aziz

doi:10.1016/j.renene.2015.04.013

Cited by 148 publications

(79 citation statements)

References 1 publication

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“…The magnetic saturation is neglected and the machine windings are supposed sinusoidally distributed. The electrical magnitudes interactions are described by the following matrix:

\begin{matrix} \frac{d}{d t} [\begin{matrix} Φ_{sd} \\ Φ_{sq} \\ Φ_{rd} \\ Φ_{rq} \end{matrix}] = [\begin{matrix} - \frac{R_{s}}{σ L_{normals}} & ω_{g} & \frac{R_{s} M}{σ L_{s} L_{r}} & 0 \\ - ω_{normalg} & - \frac{R_{s}}{σ L_{normals}} & 0 & \frac{R_{s} M}{σ L_{s} L_{r}} \\ \frac{R_{r} M}{σ L_{s} L_{r}} & 0 - \frac{R_{s}}{σ L_{normalr}} & ω_{normalg} - ω_{normalm} \\ 0 & \frac{R_{r} M}{σ L_{s} L_{r}} & - (ω_{g} - ω_{m}) & - \frac{R_{s}}{σ L_{normalr}} \end{matrix}] [\begin{matrix} Φ_{sd} \\ Φ_{sq} \\ Φ_{rd} \\ Φ_{rq} \end{matrix}] \\ [\begin{matrix} V_{sd} \\ V_{sq} \\ V_{} \end{matrix}] \end{matrix}

…”

Section: Wind System Modelingmentioning

confidence: 99%

Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization

Zamzoum

Mourabit

Errouha

et al. 2018

Energy Science & Engineering

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The main objective of this study is to improve the energy quality extracted by variable speed wind turbine based on doubly fed induction generator. First, the dynamic modeling of different parts of the system is presented. The electrical machine is modeled in PARK reference frame. Thereafter, the control technique is detailed. Indirect field‐oriented control with fuzzy logic controllers (FLC) is used to control the rotor currents and consequently the real and reactive powers of the stator generator. Then, the design of FLC is detailed by tuning its most significant parameters, which are scaling factor rules base and membership functions. Finally, a simulation using the MATLAB/SIMULINK environment is carried out to prove the validation of the control strategy using a 2 MW wind turbine. The results show a satisfactory performance in terms of rapidity, stability, and precision under variable wind speed conditions.

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“…The magnetic saturation is neglected and the machine windings are supposed sinusoidally distributed. The electrical magnitudes interactions are described by the following matrix:

\begin{matrix} \frac{d}{d t} [\begin{matrix} Φ_{sd} \\ Φ_{sq} \\ Φ_{rd} \\ Φ_{rq} \end{matrix}] = [\begin{matrix} - \frac{R_{s}}{σ L_{normals}} & ω_{g} & \frac{R_{s} M}{σ L_{s} L_{r}} & 0 \\ - ω_{normalg} & - \frac{R_{s}}{σ L_{normals}} & 0 & \frac{R_{s} M}{σ L_{s} L_{r}} \\ \frac{R_{r} M}{σ L_{s} L_{r}} & 0 - \frac{R_{s}}{σ L_{normalr}} & ω_{normalg} - ω_{normalm} \\ 0 & \frac{R_{r} M}{σ L_{s} L_{r}} & - (ω_{g} - ω_{m}) & - \frac{R_{s}}{σ L_{normalr}} \end{matrix}] [\begin{matrix} Φ_{sd} \\ Φ_{sq} \\ Φ_{rd} \\ Φ_{rq} \end{matrix}] \\ [\begin{matrix} V_{sd} \\ V_{sq} \\ V_{} \end{matrix}] \end{matrix}

…”

Section: Wind System Modelingmentioning

confidence: 99%

Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization

Zamzoum

Mourabit

Errouha

et al. 2018

Energy Science & Engineering

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“…Before doing the modeling of an asynchronous machine, it is necessary to represent a two-phase model (d, q) given by Park transformation [15].…”

Section: Dfig-generator Modelmentioning

confidence: 99%

Power Control of DFIG-generators for Wind Turbines Variable-speed

Ihedrane

Chakib

Bossoufi

2017

IJPEDS

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In this paper, we focus on the modeling and control of a wind power system based on a double-fed induction generator DFIG. We proposed a technique of active and reactive power control to improve the performance and dynamics of variable speed wind system. The objective of the modeling is to apply the direct and indirect vector control stator flux orientation to control independently, the active and reactive power generated doubly-fed induction generator (DFIG). The simulation results are tested and compared in order to evaluate the performance of the proposed system. Keyword:DFIG Direct field oriented control (DFOC) Indirect field oriented control (IDFOC) Wind

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“…The power equations in the d-q reference DFIG can be written (Bekakra and Ben Attous, 2011;Bossoufi et al, 2015 …”

Section: Dfig Model Systemmentioning

confidence: 99%

“…They contained mostly an asynchronous squirrel-cage generator (Seyoum and Grantham, 2003;Bossoufi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Managing voltage drops: a variable speed wind turbine connected to the grid

Bossoufi¹,

Ioniță²,

Constantinescu³

et al. 2017

IJAAC

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Abstract:In this paper, we present a new strategy of control DFIG-generators for wind turbines' variable-speed connected to grid. The main objective is the management of voltage drop and flicker and the generation of voltages and a fixed frequency to the grid. This strategy is based on adaptive backstepping control and crowbar reduces the duration of voltage drops. The results obtained during the validation of this model show a great improvement and robustness of system performance and the quality of the injected voltage electrical grid.

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Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation

Cited by 148 publications

References 1 publication

Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization

Power control of variable speed wind turbine based on doubly fed induction generator using indirect field‐oriented control with fuzzy logic controllers for performance optimization

Power Control of DFIG-generators for Wind Turbines Variable-speed

Managing voltage drops: a variable speed wind turbine connected to the grid

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