Implementation of PLL algorithm in DFIG based wind turbine connected to utility grid

Vajpayee, Subinay; Panda, Nihar Ranjan; Behera, Prasanajit; Swain, Sarat Chandra

doi:10.1109/icirca48905.2020.9182961

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…The DFIG system includes an induction machine and a rotor-side converter (RSC) and a grid-side converter (GSC) connected back-to-back through a dc-link capacitor [18,19]. Assuming negligible magnetic saturation and X = i qs • i ds • i qr • i dr T as the state vector and…”

Section: Dfig Modelmentioning

confidence: 99%

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A Wide-Area Fuzzy Control Design with Latency Compensation to Mitigate Sub-Synchronous Resonance in DFIG-Based Wind Farms

et al. 2022

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This paper proposes an auxiliary damping control approach based on the wide-area measurement system (WAMS). Its main objective is to mitigate sub-synchronous resonance (SSR) in doubly fed induction generator (DFIG)-based wind farms connected to a series capacitive compensated transmission network. To mitigate the delay in sending measurement signals, typically associated with wide-area measurement systems, a fuzzy logic wide-area damping controller (FLWADC) is considered to mitigate the time delay caused by the phasor measurement unit (PMU) measurement. The FLWADC is a supplementary signal at the stator voltage of the grid-side converter (GSC) of the DFIG-based wind farms. The FLWADC was executed by using the voltage and capacitor voltage variations of the series capacitive compensated transmission network. The effectiveness and validity of the proposed auxiliary damping control was verified using a modified scheme of the IEEE first benchmark model via time-area simulation analysis using MATLAB/Simulink.

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Section: Dfig Modelmentioning

confidence: 99%

“…X c X l is called the compensation percentage. Due to frequency f n , slip S n is introduced according to Equation ( 15) [14,19].…”

Section: Definition Of Ssrmentioning

confidence: 99%

A Wide-Area Fuzzy Control Design with Latency Compensation to Mitigate Sub-Synchronous Resonance in DFIG-Based Wind Farms

et al. 2022

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“…The amount of wind power access to the power grid has steadily increased over the last decade. Wind power, on the other hand, is naturally unpredictable, posing a threat to the reliability of the power grid [10]. For the Doubly Fed Induction Generator (DFIG) wind turbine, a new method for gaining access to the reactive current control service has been developed.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Analysis and Control of Autonomous Wind System with Afpsg Feeding

2022

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The generate mechanical power or electricity is known as wind power or wind energy, Wind turbines convert the wind's kinetic energy into a mechanical energy-based combination of two or more energy sources that generate efficient energy power. In the existing method autonomous wind-solar hybrid energy system feeding 3-phase 4-wire loads, and it Contains some drawbacks output, not efficiency, high maintenance, Power quality is low, overcome the drawbacks wind system with AFPM feeding to improve power quality.Axial-Flux Permanent Magnet Generator for small wind turbine power generation systems with brushless motors synchronous machine. Because the generator's mechanical frequency changes, the rotor switching frequency must start changing to maintain the stator switching frequency constant. In a wind generator with variable speeds, low balanced dynamical stack, and varying wind accelerations, rotor excitation is permitted for a wind turbine's stator to supply a load or feed the grid. A boost converter is used to increase the DC voltage of the battery before it is given to the single-phase DC-DC Chopper, and the MPPT (Maximum Power Point Tracking) technique is used to maximize the energy output.When the switch is open, no current flows through it, converting the unregulated DC input to a controlled DC output with the desired voltage level, there is no voltage drop across the switch when it is closed in the DC-DC Chopper. The proposed system is simulated using MATLAB Simulink, the output result is improved and getting better efficiency when compared to the proposed method.

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“…The important aspect is that the time delays measured by the PMU should be taken into account in the design of the controller. If this latency is ignored, the controller may even cause instability [14].…”

Section: Introductionmentioning

confidence: 99%

Damping of Subsynchronous Resonance in Utility DFIG-Based Wind Farms Using Wide-Area Fuzzy Control Approach

et al. 2022

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This paper presents a novel fuzzy control scheme for damping the subsynchronous resonance (SSR) according to the wide-area measurement system (WAMS) in power systems including doubly fed induction generator (DFIG)-based wind farms connected to series capacitive compensated transmission networks. The SSR damping is attained by adding the fuzzy controller as a supplementary signal at the stator voltage loop of the grid-side converter (GSC) of DFIG wind farms. Additionally, time delays due to communication signals are important when using WAMSs. If the time delays are ignored, it causes system instability. In this paper, the time delays are modeled with a separate fuzzy input to the controller. The new fuzzy control approach is executed by using the angular velocity of synchronous generators (w) and its variation in the angular velocity (dw/dt). The effectiveness and success of the WAMS-based fuzzy controller is demonstrated by comparison with the particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) optimization methods. The efficacy and validity of the planned auxiliary damping control are verified on a modified version of the IEEE second benchmark model including DFIG-based wind farms via time simulations using the MATLAB/Simulink toolbox.

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Implementation of PLL algorithm in DFIG based wind turbine connected to utility grid

Cited by 5 publications

References 8 publications

A Wide-Area Fuzzy Control Design with Latency Compensation to Mitigate Sub-Synchronous Resonance in DFIG-Based Wind Farms

A Wide-Area Fuzzy Control Design with Latency Compensation to Mitigate Sub-Synchronous Resonance in DFIG-Based Wind Farms

Performance Analysis and Control of Autonomous Wind System with Afpsg Feeding

Damping of Subsynchronous Resonance in Utility DFIG-Based Wind Farms Using Wide-Area Fuzzy Control Approach

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