Fuzzy‐PI‐based sensorless frequency and voltage controller for doubly fed induction generator connected to a DC microgrid

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%

Experimental behaviour analysis for optimally controlled standalone DFIG system

Soued

Chabani

Becherif

et al. 2019

IET Electric Power Applications

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“…However, due to the inherent periodic delay of repetitive control, when the system is disturbed, at the moment, the control signal cannot act on the controlled object in time, which reduces the dynamic characteristics of the system. Reference [13][14][15] designed a fuzzy logic controller for power bidirectional AC-DC converter in DC microgrid, and applied it to the current inner loop in converter control system. This control strategy reduces the requirements for the mathematical model of the controlled object and improves the system's adaptability to the loads.…”

Section: Introductionmentioning

confidence: 99%

Research and Simulation of DC Microgrid Three-Phase AC-DC Converter Control Strategy Based on Double Loop

Gao

Zhou

et al. 2020

IEEE Access

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The new voltage and current double loop control strategy is proposed to solve the DC microgrid bus voltage fluctuation caused by loads fluctuation, parameters perturbation and unbalanced three-phase power supply. Firstly, the dq axis mathematical model of three-phase AC-DC bidirectional converter in DC microgrid is analyzed and established, and then the controllers are designed according to the dq axis mathematical model. The outer loop is a voltage loop based on variable gain linear extended state observer (VGLESO) and sliding mode theory. VGLESO can not only effectively overcome the problem of peak output of traditional high-gain LESO in the initial stage of operation, and ensure that the system has good startup characteristics, but also quickly track and compensate the total disturbance of the system without additional current sensors. The inner loop is a current loop based on adaptive PI, which can eliminate the influence of system parameters perturbation on bus voltage and improve the system's adaptability. Under the action of the inner and outer loops, the system has good dynamic and static characteristics. Finally, the feasibility and correctness of the control strategy are verified by Matlab/Simulink.

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“…In the new proposed configuration of DFIG connected to DC‐bus, the diode rectifier is employed to connect the stator windings to the DC‐bus and the PWM power converter is employed to connect the rotor windings to the DC‐bus. In the existing literature, several methods have been suggested to control the DFIG‐DC system such as: field‐oriented control, DC power control, resonant controllers (RC) method, predictive control method, root‐mean square (RMS) detection method, and fuzzy‐proportional‐integral (PI) method …”

Section: Introductionmentioning

confidence: 99%

“…In the existing literature, several methods have been suggested to control the DFIG-DC system such as: field-oriented control, 7 DC power control, 8 resonant controllers (RC) method, 9 predictive control method, 10 root-mean square (RMS) detection method, 11 and fuzzy-proportional-integral (PI) method. 12 List of symbols and abbreviations: θ s ,θ r ,θ m , synchronous, slip, and rotor angles; i m , magnetizing current; V dc , DC-Bus voltage; ω s ,ω r ,ω m , synchronous,slip, and rotor angular speed; d,q, two-axis synchronous frame quantities; Ls, Lr,, stator and rotor inductances; M, magnetizing inductance; Rs,Rr, stator and rotor resistances; s,r , stator,rotor; V,I,Φ, voltage, current, and flux, respectively; σ, leakage factor; *, Reference value Most previous studies have primarily concentrated on control of DFIG-DC system. However, it is essential to study the monitoring conditions and fault diagnosis in this system.…”

Section: Introductionmentioning

confidence: 99%

An open‐switch fault detection scheme in the IGBT‐based PWM power converter used in DFIG connected to DC‐bus

Touaiti

Azza

Jemli

2019

Int Trans Electr Energ Syst

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Summary This paper addresses the diagnosis of open‐switch fault in pulse‐width modulation (PWM) power converter based on insulated‐gate bipolar transistor (IGBT) used in doubly‐fed induction generator‐direct current (DFIG‐DC) system. The fault diagnosis is carried out by analyzing the rotor currents within healthy and faulty operation conditions. In the new proposed configuration of DFIG connected to DC‐bus, the diode rectifier is employed to connect the stator windings to the DC‐bus and the PWM power converter is employed to connect the rotor windings to the DC‐bus. The main goal of using a PWM power converter is to keep the stator voltage and frequency constant at rated values. In this regard, the various experimental results for open‐circuit faults are obtained by using dSpace DS1104 control board. Some experimental results are obtained, proving the effectiveness of the proposed diagnosis approach such as low detection time and high robustness against false alarms.

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Fuzzy‐PI‐based sensorless frequency and voltage controller for doubly fed induction generator connected to a DC microgrid

Cited by 30 publications

References 39 publications

Experimental behaviour analysis for optimally controlled standalone DFIG system

Experimental behaviour analysis for optimally controlled standalone DFIG system

Research and Simulation of DC Microgrid Three-Phase AC-DC Converter Control Strategy Based on Double Loop

An open‐switch fault detection scheme in the IGBT‐based PWM power converter used in DFIG connected to DC‐bus

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