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

Bossoufi, Badre; Ioniță, Silviu; Constantinescu, Luminita; Arroussi, Hala Alami; Ghamrasni, Madiha El; Ihedrane, Yasmine

doi:10.1504/ijaac.2017.080817

Cited by 13 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3, June 2019 : 1148 -1158 1152unlike the linearization methods. The determination of control laws that follows from this approach is based on the use of control Lyapunov functions[22][23][24].…”

mentioning

confidence: 99%

Improved wind system using non-linear power control

Ihedrane

Bekkali

Ghamrasni

et al. 2019

IJEECS

Self Cite

View full text Add to dashboard Cite

<p>This article, present a new contribution to the control of wind energy systems, a robust nonlinear control of active and reactive power with the use of the Backstepping and Sliding Mode Control approach based on a doubly fed Induction Generator power (DFIG-Generator) in order to reduce the response time of the wind system. In the first step, a control strategy of the MPPT for the extraction of the maximum power of the turbine generator is presented. Subsequently, the Backstepping control technique followed by the sliding mode applied to the wind systems will be presented. These two types of control system rely on the stability of the system using the LYAPUNOV technique. Simulation results show performance in terms of set point tracking, stability and robustness versus wind speed variation. </p>

show abstract

mentioning

confidence: 99%

Improved wind system using non-linear power control

Ihedrane

Bekkali

Ghamrasni

et al. 2019

IJEECS

Self Cite

View full text Add to dashboard Cite

show abstract

({, \begin{matrix} \frac{normald P_{g}}{normald t} = (\frac{d i_{g d}}{d t} \cdot v_{normalg d} + \frac{normald i_{normalg q}}{normald t} \cdot v_{g q}) = (\begin{matrix} 1em4pt \\ (- \frac{R_{normalr}}{L_{normalr}} \cdot P_{g} - ω_{s} \cdot Q_{g}) \\ - \frac{1}{L_{normalr}} \cdot ()(, \sqrt{\frac{3}{2}} \overset{false^}{v}) \cdot v_{normalg d} + \frac{1}{L_{r}} (v_{g d}^{2} + v_{g q}^{2}) \end{matrix}) \\ \frac{normald Q_{g}}{normald t} = (\frac{d i_{g d}}{d t} \cdot v_{normalg q} - \frac{normald i_{normalg q}}{normald t} \cdot v_{g d}) = ((- \frac{R_{normalr}}{L_{normalr}} \cdot Q_{g} - ω_{s} \cdot P_{g}) - \frac{1}{L_{normalr}} \cdot ()(, \sqrt{...})) \end{matrix})

…”

Section: Backstepping Control Techniquementioning

confidence: 99%

“…The converter control on the grid side will stabilise the voltage frequency between the DFIG and the electrical grid. To guarantee that, we keep the DC bus voltage V DC constant with the possibility of adjusting the power factor [22] (see (25)) . The control of the active power injected into the grid requires also the control of the DC bus voltage.…”

Section: Grid Side Converter Controlmentioning

confidence: 99%

DSPACE‐based implementation for observer backstepping power control of DFIG wind turbine

Bossoufi

Karim

Taoussi

et al. 2020

IET Electric Power Applications

Self Cite

View full text Add to dashboard Cite

This work develops a real‐time implementation on the DSPACE environment of an adaptive non‐linear control strategy for a wind energy conversion system (WECS) based on the doubly‐fed induction generator (DFIG). The DSPACE‐DS1104 board is directly associated with an experimental bench of a wind power system. The non‐linear backstepping controller has been realised to control the active and reactive powers of the DFIG connected directly to the electricity grid via two converters (grid side and machine side). First, a full review of the WECS is discussed. Subsequently, a detailed description of the backstepping control laws based on the Lyapunov stability technique is reported. Consequently, a simulation on the Matlab & Simulink environment was carried out to test the proposed control model in terms of performance and robustness. The second part of this work was devoted to the experimental validation of the adaptive backstepping control algorithm on a test bench to prove its efficiency. The results obtained show a perfect correlation between simulations and experiments (in static and dynamic regime) even for fluctuating wind speed.

show abstract

“…Where Cg is the generator torque, Ω mec is the high speed of the generator, G: multiplier gain From the fundamental equation of the dynamics we can determine the mechanical speed, however the mechanical torque is giving by [5] [4]:…”

Section: Modelling Of Wind Turbinmentioning

confidence: 99%

“…[2] [3] Among the renewable energies, wind energy is experiencing a significant growth and is considered as a mature and economical technology [4]. However, the problem is that this resource is characterized by variable wind speed [5]. For this reason, we have opted for the generator doubly fed induction, as well as other advantages such as; reducing the sizing of the converters, and improving the quality of the energy produced.…”

Section: Introductionmentioning

confidence: 99%

Direct and indirect vector control of a doubly fed induction generator based in a wind energy conversion system

Bouderbala¹,

Bossoufi²,

Lagrioui³

et al. 2019

IJECE

Self Cite

View full text Add to dashboard Cite

<p>In the recent years, the development and the exploitation of renewable energy knew a great evolution. Among these energy resources, the wind power represents an important potential for that the wind system has been the subject of several researches. The purpose of this study is to improve the power extracted from wind energy, taking into consideration the variation of wind speed which causes a problem in energy production. For this purpose, we have controlled the powers whether it is active or reactive delivered by the generator. This paper, presents essentially the modeling and control of doubly- fed induction generator (DFIG), which is connected to a variable speed wind turbine. Firstly, the model of the wind power system with the maximum power point tracking (MPPT) strategy is shown. Then, the modeling of doubly- fed induction generator (DFIG) and its power control is presented. Finnaly, to ensure the attitude of these controls the simulations is presented in the Matlab/Simulink environment.</p>

show abstract

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

Cited by 13 publications

References 0 publications

Improved wind system using non-linear power control

Improved wind system using non-linear power control

DSPACE‐based implementation for observer backstepping power control of DFIG wind turbine

Direct and indirect vector control of a doubly fed induction generator based in a wind energy conversion system

Contact Info

Product

Resources

About