Experimental design of stand-alone field oriented control for WECS in variable speed DFIG-based on hysteresis current controller

Amrane, Fayssal; Chaiba, Azeddine; Bart, François; Babes, Badreddine

doi:10.1109/elma.2017.7955453

Cited by 23 publications

(22 citation statements)

References 13 publications

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“…The regulation of the active and reactive powers in decoupled form with the DFIG is regulated using the field-oriented control (FOC) technique [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid

et al. 2021

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Wind-generated energy is a fast-growing source of renewable energy use across the world. A dual-feed induction machine (DFIM) employed in wind generators provides active and reactive, dynamic and static energy support. In this document, the droop control system will be applied to adjust the amplitude and frequency of the grid following the guidelines established for the utility’s smart network supervisor. The wind generator will work with a maximum deloaded power curve, and depending on the reserved active power to compensate the frequency drift, the limit of the reactive power or the variation of the voltage amplitude will be explained. The aim of this paper is to show that the system presented theoretically works correctly on a real platform. The real-time experiments are presented on a test bench based on a 7.5 kW DFIG from Leroy Somer’s commercial machine that is typically used in industrial applications. A synchronous machine that emulates the wind profiles moves the shaft of the DFIG. The amplitude of the microgrid voltage at load variations is improved by regulating the reactive power of the DFIG and this is experimentally proven. The contribution of the active power with the characteristic of the droop control to the load variation is made by means of simulations. Previously, the simulations have been tested with the real system to ensure that the simulations performed faithfully reflect the real system. This is done using a platform based on a real-time interface with the DS1103 from dSPACE.

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“…The regulation of the active and reactive powers in decoupled form with the DFIG is regulated using the field-oriented control (FOC) technique [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid

et al. 2021

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“…FOC, also known as vector control, sets a two-dimensional rotating reference, called d-q, whose direct axis is usually aligned with the stator magnetic flux. Under this scheme, the torque and the active power are proportional to the q-axis component of the rotor current, whereas the q-axis component is used to regulate the reactive power flow [27,40,[44][45][46][47][48][49][50][51][52][53][54][55][56]. Figure 10 depicts the control of a DFIG with some of the additional controllers discussed in this article.…”

Section: Variable-speed Wind Turbinesmentioning

confidence: 99%

Provision of Frequency Response from Wind Farms: A Review

et al. 2021

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Renewable sources of energy play a key role in the process of decarbonizing modern electric power systems. However, some renewable sources of energy operate in an intermittent, non-dispatchable way, which may affect the balance of the electrical grid. In this scenario, wind turbine generators must participate in the system frequency control to avoid jeopardizing the transmission and distribution systems. For that reason, additional control strategies are needed to ensure the frequency response of variable-speed wind turbines. This review article analyzes diverse control strategies at different levels which are aimed at contributing to power balancing and system frequency control, including energy storage systems.

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“…In this section, numerical examples of the DFIG based variable-speed wind turbine (double-cage induction generator) for the power system (induction model, current model) based on the multi-input multi-output discrete-time are given to show the comparison of the proposed technique with the existing frequency-limited model reduction technique for the LTI continuous-time system. Figs (4,5,6,7,8,9,10,11,12,13) represent the Bode plot (magnitde, phase) comparison of corresponding ROMs obtained by existing ( [51], [52], [53], [54], [55], [56]) and the proposed approache with the original system, each Fig contains subfigures which represent output/input Bode plot (magnitude, phase). Table . 5 and 6 provide frequency response error comparison existing ( [51], [52], [53], [54], [55], [56]) and the proposed approaches.…”

Section: Numerical Examplesmentioning

confidence: 99%

Frequency Limited & Weighted Model Reduction Algorithm With Error Bound: Application to Discrete-Time Doubly Fed Induction Generator Based Wind Turbines for Power System

et al. 2021

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The state-space representations grant a convenient, compact, and elegant way to examine the physical systems, e.g., induction and synchronous generator-based wind turbines, with facts readily available for stability, controllability, and observability analysis. In this paper, the model order reduction of a stable doubly fed induction generator based variable-speed wind turbines model is performed with the aid of the proposed stability preserving balanced realization algorithm based on discrete frequency weights and limited frequency-interval. The frequency weighting and limited frequency-intervals-based model order reduction techniques presented by Enns's and Wang & Zilouchian produce an unstable reduced-order model at certain frequency weights and frequency intervals, respectively. To overcome this main drawback, many researchers provided a solution to preserve the stability of the reduced-order model. However, these existing approaches also produce an unstable reduced-order model in some conditions and produce a large variation to the original system; consequently, they provide a large approximation error. The proposed approach not only ensures the stability of the reduced-order model but also provides low approximation error as compared with other existing approaches and also provides an easily calculable a priori error bound formula. The proposed work produces steady and precise outcomes in contrast to conventional reduction methods, which shows the efficacy of the proposed algorithm.

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Experimental design of stand-alone field oriented control for WECS in variable speed DFIG-based on hysteresis current controller

Cited by 23 publications

References 13 publications

Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid

Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid

Provision of Frequency Response from Wind Farms: A Review

Frequency Limited & Weighted Model Reduction Algorithm With Error Bound: Application to Discrete-Time Doubly Fed Induction Generator Based Wind Turbines for Power System

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