Implementation and comparative study of control strategies for an isolated DFIG based WECS

Bouchiba, Nouha; Barkia, Asma; Sallem, Souhir; Chrifi‐Alaoui, Larbi; Drid, Saïd; Kammoun, Mohamed Ben Ali

doi:10.1140/epjp/i2017-11712-5

Cited by 14 publications

(6 citation statements)

References 24 publications

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“…As shown in Fig. 2 [9,[30][31][32][33][34]. The compensation terms are nullified with a technique known as feed-forward cancellation.…”

Section: Conventional Pi Controller Gains Tuningmentioning

confidence: 99%

“…One for controlling the stator voltage magnitude (AC bus) | V s | control which is called the outer loop control, besides other two PI controllers for the control of the rotor currents

()(, i_{d normalr})

and

()(, i_{q normalr})

in the inner loop control. There are a number of standard methods for designing PI controllers such as Ziegler–Nichols tuning, root locus, bode, pole compensation method or pole placement [9, 30–34]. The compensation terms are nullified with a technique known as feed‐forward cancellation.…”

Section: Conventional Pi Controller Gains Tuningmentioning

confidence: 99%

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Experimental behaviour analysis for optimally controlled standalone DFIG system

Soued

Chabani

Becherif

et al. 2019

IET Electric Power Applications

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Metaheuristic optimisation techniques such as the Grey Wolf optimiser (GWO) and artificial bee colony (ABC) algorithms have been developed for enhancing the dynamic behaviour of wind energy conversion system. The stand-alone doubly fed induction generator (DFIG) control system based on the direct voltage control is experimentally validated for the robust independent control of the stator voltage amplitude and the consequent rotor current regulation. The GWO and ABC are used for selecting the optimal gains of the proportional-integral (PI) regulator to improve the dynamic performance and the robust stability of the DFIG system in the presence of step voltage variation and sudden load operation. Through, MATLAB™/ Simulink numerical simulations, the dynamic performances of the GWO-PI and ABC-PI applied to stand-alone DFIG systems are compared with the conventional PI controller under different disturbances. Using a 3 kW DFIG test bench DSPACE DS1104 card prototype, the experimental validation justifies the superiority of proposed novel GWO-PI and ABC-PI controllers over the conventional PI control in terms of steady-state errors, maximum overshoots, settling time and rise time.

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“…As shown in Fig. 2 [9,[30][31][32][33][34]. The compensation terms are nullified with a technique known as feed-forward cancellation.…”

Section: Conventional Pi Controller Gains Tuningmentioning

confidence: 99%

“…One for controlling the stator voltage magnitude (AC bus) | V s | control which is called the outer loop control, besides other two PI controllers for the control of the rotor currents

()(, i_{d normalr})

and

()(, i_{q normalr})

Section: Conventional Pi Controller Gains Tuningmentioning

confidence: 99%

Experimental behaviour analysis for optimally controlled standalone DFIG system

Soued

Chabani

Becherif

et al. 2019

IET Electric Power Applications

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“…The FOC technique is implemented through a conventional inner PI controller beside the pulse width modulation (PWM) which can apply the switching sequences to the voltage source converter (VSC). The advantages and disadvantages of this algorithm have been already discussed in many works (Abdeddaim & Betka, 2013;Abdeddaim et al, 2014;Amrane et al, 2016;Bekakra & Ben Attous, 2014;Benamor et al, 2019;Bouchiba et al, 2017;Mensou et al, 2019Mensou et al, , 2020Soued, 2019). One of the advantages is that the FOC provides accurate current conservation, which is the major goal in control of electrical drives.…”

Section: Introductionmentioning

confidence: 99%

Finite-State Predictive Current Control of a Standalone DFIG-Based Wind Power Generation Systems: Simulation and Experimental Analysis

Chabani

Benchouia

Goléa

et al. 2021

J Control Autom Electr Syst

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This paper presents an improved stator voltage magnitude and frequency control for standalone doubly fed induction generators (DFIGs) based wind power generation systems (WPGSs). The proposed technique uses a simple finite-state predictive current control (FS-PCC). In this control method, the switching vector for the IGBT is selected to minimize the error between the reference value and the predicted value of the rotor current. Moreover, the discrete-time models of (DFIG) are needed to predict the future value of the rotor current for all possible voltage vectors generated by the rotor-side converter (RSC). Since the classic control methods in the literature use inner control loops and are based on pulse width modulation (PWM), this method does not require complex modulation stages and omits the current control loops, which reduces the control requirements. The main objective in a standalone DFIG system is to keep the stator voltage has constant in amplitude and frequency and equal to the reference value, regardless of the changes in rotor speed or load. The proposed control strategy was implemented through a 3 kW DFIG prototype platform-based dSPACE 1104 card. The simulation and experimental results show that the proposed FS-PCC offers excellent reference tracking with less total harmonic distortion (THD) in stator voltages and rotor currents. KeywordsStandalone DFIGs • WPGSs. FS-PCC • Field-oriented control (FOC) • Rotor-Side Converter RSC • dSPACE 1104 card.

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“…DTC is a non-linear type of control that functions in a hysteresis style. It detects the nonlinear parameters of machines such as flux and torque, and adjusts the rotor voltage to a suitable power [3,10,17,18]. Another scheme for linear control, named vector control (VC), depends on simple single input, single output feedback type regulators, i.e., PI and PID controllers, or a more progressive state space concept.…”

Section: Introductionmentioning

confidence: 99%

Power Optimization Control Scheme for Doubly Fed Induction Generator Used in Wind Turbine Generators

et al. 2020

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Scientists and researchers are exploring different methods of generating and delivering electrical energy in an economical and reliable way, enabling them to generate electricity focusing on renewable energy resources. All of these possess the natural property of self-changing behavior, so the connection of these separate independent controllable units to the grid leads to uncertainties. This creates an imbalance in active power and reactive power. In order to control the active and reactive power in wind turbine generators with adjustable speed, various control strategies are used to allay voltage and current variations. This research work is focused on the design and implementation of effective control strategies for doubly fed induction generator (DFIG) to control its active and reactive power. A DFIG system with its control strategies is simulated on MATLAB software. To augment the transient stability of DFIG, the simulation results for the active and reactive power of conventional controllers are compared with three types of feed forward neural network controllers, i.e., probabilistic feedforward neural network (PFFNN), multi-layer perceptron feedforward neural network (MLPFFN) and radial basic function feedforward neural network (RBFFN) for optimum performance. Conclusive outcomes clearly manifest the superior robustness of the RBFNN controller over other controllers in terms of rise time, settling time and overshoot value.

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Implementation and comparative study of control strategies for an isolated DFIG based WECS

Cited by 14 publications

References 24 publications

Experimental behaviour analysis for optimally controlled standalone DFIG system

Experimental behaviour analysis for optimally controlled standalone DFIG system

Finite-State Predictive Current Control of a Standalone DFIG-Based Wind Power Generation Systems: Simulation and Experimental Analysis

Power Optimization Control Scheme for Doubly Fed Induction Generator Used in Wind Turbine Generators

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