Voltage control of a variable speed wind turbine connected to an isolated load: Experimental study

Masmoudi, Abdelkarim; Krichen, Lotfi; Ouali, A.

doi:10.1016/j.enconman.2012.02.002

Cited by 26 publications

(16 citation statements)

References 20 publications

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“…[25], [26], [27], [28], [29], [30], [31], [32], [33] Wind power - [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57] [24]…”

Section: Resultsmentioning

confidence: 99%

Renewable energy emulation concepts for microgrids

Prieto‐Araujo

Olivella‐Rosell

Cheah-Mañé

et al. 2015

Renewable and Sustainable Energy Reviews

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This article reviews the renewable energy systems emulators proposals for microgrid laboratory testing platforms. Four emulation conceptual levels are identified based on the literature analysis performed. Each of these levels is explained through a microgrid example, detailing its features and possibilities. Finally, an experimental microgrid, built based on emulators, is presented to exemplify the system performance.

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Section: Resultsmentioning

confidence: 99%

Renewable energy emulation concepts for microgrids

Prieto‐Araujo

Olivella‐Rosell

Cheah-Mañé

et al. 2015

Renewable and Sustainable Energy Reviews

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“…The speed ratio is expressed as follows:

λ = \frac{R Ω_{m}}{v} .

The aerodynamic torque T aer of the turbine can then be obtained by dividing the expression of the power calculated in Equation by the rotation speed of the mechanical shaft Ω m :

T_{aer} = \frac{P}{{normalΩ}_{m}} = \frac{1}{2} \frac{italicρπ R^{2} v^{3} C_{p} ((),, λ, β)}{{normalΩ}_{m}} .

The expression () is not satisfactory insofar as an indeterminacy of the T em‐DC torque startup: At this operating point, the speed Ω m is zero. Thus, the torque coefficient depends on the power coefficient as follows:

C_{t} = \frac{C_{p}}{λ} .

We introduce expressions () and () in Equation :

T_{aer} = \frac{P}{{normalΩ}_{m}} = \frac{1}{2} italicρπ R^{3} v^{2} C_{t}

…”

Section: Experimental Platform Description and Modelingmentioning

confidence: 99%

A second‐order sliding‐mode control for a real time emulator of a wind power system synchronized with electrical network

Krim

Abbes

Krim

et al. 2019

Int Trans Electr Energ Syst

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Summary This paper was focused on the implementation of experimental test bench for a wind power generator (WPG) connected to the electrical network. The objectives of this work are to validate the test bench functionality and to investigate in real time a high‐order sliding‐mode control (SMC) scheme applied to control the WPG. This study has three main purposes. The first one is the development of the SMC technique to ensure a control method insensitive against nonlinear behavior of wind systems. The second one is the experimental implementation of this SMC scheme. The third one is a synchronization technique that has been presented in a grid‐connected power inverter to adapt the WPG voltage to the grid voltage. A comparative study between the experimental and simulation results demonstrates the functionality of the test platform and the robustness of the SMC in real time.

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“…The real time control of the test bench is ensured by two dSPACE 1104 cards with some interfaces for the data acquisition and the signal level adjustments [16,17].…”

Section: Experimental Platform Descriptionmentioning

confidence: 99%

“…After the regulation of the stator currents, the stator voltages ''V sd '' and ''V sq '', in the Park reference frame, are calculated according to the following equations [10,17]:…”

Section: Pmsg Control Strategymentioning

confidence: 99%