Dynamic Behavior Analysis for Optimally Tuned On-Grid DFIG Systems

Soued, Salah; Ramadan, Haïtham Saad Mohamed; Becherif, Mohamed

doi:10.1016/j.egypro.2019.04.035

Cited by 13 publications

(12 citation statements)

References 22 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%

“…Amongst all the standards, those related to smart networks aim to guarantee a safe supply, and ensure the reliability and quality of the energy generated [25,26]. With the strong growth of grid-connected wind power plants, there is a need for grid-integrated wind farms with the ability to withstand grid voltage and frequency also during perturbations in the network [18].…”

Section: Introductionmentioning

confidence: 99%

“…Figure18. Grid, load, stator, grid side converter, and rotor currents for the process shown in Figure17.…”

mentioning

confidence: 99%

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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%

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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“…Finally, the equation for the developed power of a DFIG, in steady state, may be obtained by substitution of Equations (15) and (19) into (17):…”

Section: Equivalent Circuit Equationsmentioning

confidence: 99%

“…The choice of the appropriate solution is done by analyzing the magnitude of the current corresponding to each of these solutions. The value of the current is calculated by Equation (19), and the solution chosen will correspond to a current smaller than the magnitude of the DFIG rotor-rated current. The solution…”

Section: Calculation Of Reference Values For Control Variablesmentioning

confidence: 99%

Direct Voltage Control of a Doubly Fed Induction Generator by Means of Optimal Strategy

et al. 2020

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The major objective of the investigation reported in this article is to demonstrate the feasibility of controlling a Doubly Fed Induction Generator actuating directly on the rotor voltage produced by the Rotor Side Converter, as its reference value may be determined analytically, after definition of the control objective. Two usual objectives are here considered: maximum power extraction from wind (MPPT) and stator reactive power equal to zero. This last objective defines the reference slip to be considered in the formulation of developed power that, jointly with the reactive power equation, forms the system to calculate the rotor reference voltages. The process is completed by specifying the desired dynamical response. Thus, the angular velocity of the rotor should quickly reach its reference value, which requires maximal power acceleration at the beginning, but respects the restriction that no overshoot should be allowed. This is achieved by means of a constrained optimization process solved in real time. Following recent trends, only measurements obtained from stator (voltages and currents) sensors are used. This way, angular velocity and rotor currents are estimated in real time. An algorithm for inductance estimation is also included, which prevents deviations of nominal values that could lead to false reference voltages.

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