Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine

Mensou, Sara; Essadki, Ahmed; Nasser, Tamou; Idrissi, Badre Bououlid; Tarla, Lahssan Ben

doi:10.1016/j.renene.2019.09.042

Cited by 39 publications

(25 citation statements)

References 15 publications

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“…Substituting the expression of the rotor flux (12) into the expression of the rotor voltage (11), we get: (13) Analyzing the expression of the rotor voltage in eq. 13, we can see that it is decomposed into two terms, the first term A is the electromotive force (EMF) induced by the stator flux [2], when the current rotor is equal to zero I r = 0 in the open circuit, the term A can be defined as:…”

Section: Doubly-fed Induction Generator Under Voltage Dips 21 Modelimentioning

confidence: 99%

“…DFIG is a highly nonlinear system, so several control strategies have been examined to improve the DFIG operation under disturbances [6][7][8][9][10][11]. Among these control techniques, the most used one is the classical control based on the proportional-integral (PI) correctors, it's very used for it reliability and simplicity of implementation, but its performance degrades when the internal generator parameters varied [12,13]. In work [6], a nonlinear MPPT control of a DFIG based on feedback linearization control (FLC) was designed, and the stability of the system was achieved using Lyapunov theory.…”

Section: Introductionmentioning

confidence: 99%

“…The voltage dip is a temporary and sudden drop of the amplitude from 10% to 90% of the RMS voltage affecting one or more phases at a point in the electrical network; it is characterized by two parameters: the amplitude and duration [13]. Previously, when faults grid occurs, the system protection turns-off and disconnects the generator from the network to protect the aero-generators, which implies a loss of production for several minutes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A direct power control of a DFIG based-WECS during symmetrical voltage dips

Mensou

Essadki

Nasser

et al. 2020

Prot Control Mod Power Syst

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The Wind Energy Conversion System (WECS) based Doubly Fed Induction Generator (DFIG) has experienced a rapid development in the world, which leads to an increasing insertion of this source of energy in the electrical grids. The sudden and temporary drop of voltage at the network can affect the operation of the DFIG; the voltage dips produce high peak currents on the stator and rotor circuits, without protection, the rotor side converter (RSC) will suffer also from over-current limit, consequently, the RSC may even be destroyed and the generator be damaged. In this paper a new Direct Power Control (DPC) method was developed, in order to control the stator powers and help the operation of the aero-generator during the faults grid; by injecting the reactive power into the network to contribute to the return of voltage, and set the active power to the optimum value to suppress the high peak currents. The DPC method was designed using the nonlinear Backstepping (BS) controller associated with the Lyapunov function to ensure the stability and robustness of the system. A comparison study was undertaken to verify the robustness and effectiveness of the DPC-BS to that of the classical vector control (VC) using Proportional-Integral (PI) correctors. All were simulated under the Simulink® software.

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Section: Doubly-fed Induction Generator Under Voltage Dips 21 Modelimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A direct power control of a DFIG based-WECS during symmetrical voltage dips

Mensou

Essadki

Nasser

et al. 2020

Prot Control Mod Power Syst

Self Cite

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“…According to the grid code requirements, if the grid voltage is subjected to a sag of <90% and >10% of its rated value during faults [28 ], then the WECS should be subjected to FRT. Hence, a DVR unit is installed for detection of balance/unbalance faults and for the improvement of the FRT capability of the system.…”

Section: Grid Faults and Dynamic Voltage Restorermentioning

confidence: 99%

Autonomous group particle swarm optimisation tuned dynamic voltage restorers for improved fault-ride-through capability of DFIGs in wind energy conversion system

Swain

Ray

2020

IET Energy Systems Integration

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“…The authors proposed a nonlinear back-stepping approach based MPPT method which is simple in structure and guarantees the robustness to parametric uncertainties. 26,27 The authors in 28 proposed a sliding mode control supervised adaptive fractional order control system for the rotor and grid side converters in DFIG based WECS. In their investigation, the simulation results are presented and compared with the basic sliding mode and the conventional PI controllers to show the effectiveness of the application of the fractional order controller.…”

Section: Introductionmentioning

confidence: 99%

Fractional‐order nonlinear PID controller based maximum power extraction method for a direct‐driven wind energy system

Pathak

Bhati

Gaur

2020

Int Trans Electr Energ Syst

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Objective To maintain the operation of a wind turbine at its maximum efficiency and for the extraction of maximum power from the wind. Method In this paper, at first, a novel application of fractional‐order nonlinear proportional‐integral‐derivative (FONPID) controller is proposed in the machine side converter (MSC) control loop of a 2 MW grid‐connected wind energy system. Then, the grid side converter (GSC) is controlled to ensure the unity power factor of the understudy system. To extract the maximum power from the wind, the application of the proposed controller is applied to a well‐established TSR MPPT control method, which compares optimal and actual values of rotor speed, and generated error is given to the proposed controller to vary the rotor speed accordingly. Moreover, improved MPPT performance offered by the proposed FONPID controller has also been compared to well‐established existing controllers based TSR MPPT methods. Furthermore, parameters of the proposed and existing controllers in the TSR MPPT control loop are also tuned using teaching‐learning based optimization (TLBO) and obtained performance is compared with the performance of particle swarm optimization (PSO) to show effectiveness. Results The generator speed offered by the proposed FONPID based TSR MPPT method effectively tracks its reference values far better than the extant controller based TSR MPPT method, whereas extant NPID has less overshoot as compared to the extant PID based TSR MPPT method. Conclusion To perform the effective operation of achieving MPP, q‐axis current of the stator has been controlled by the proposed FONPID based TSR MPPT method in such a style that rotor speed can be operated at its optimal value where the generator has the maximum power for given wind speed. DC‐link voltage is controlled at its rated value to guarantee the unity power factor operation using the GSC controller. FONPID based TSR MPPT method provides a better and robust MPPT operation than the PID, NPID, and FOPID controllers based TSR MPPT method. The performance has been assessed in terms of minimized fitness function value, steady‐state error, settling time, and percentage overshoot.

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Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine

Cited by 39 publications

References 15 publications

A direct power control of a DFIG based-WECS during symmetrical voltage dips

A direct power control of a DFIG based-WECS during symmetrical voltage dips

Autonomous group particle swarm optimisation tuned dynamic voltage restorers for improved fault-ride-through capability of DFIGs in wind energy conversion system

Fractional‐order nonlinear PID controller based maximum power extraction method for a direct‐driven wind energy system

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