A Third-Order MAF Based QT1-PLL That is Robust Against Harmonically Distorted Grid Voltage With Frequency Deviation

Mellouli, Manel; Hamouda, Mahmoud; Slama, Jaleleddine Ben Hadj; Al‐Haddad, Kamal

doi:10.1109/tec.2021.3061027

Cited by 30 publications

(31 citation statements)

References 32 publications

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“…Details of the experimental setup are given in [10]. As a comparison technique, TQT1-PLL [1] is used. Parameters of the TQT1-PLL are selected the same as in [1].…”

Section: Signal Modeling and Estimator Designmentioning

confidence: 99%

“…As a comparison technique, TQT1-PLL [1] is used. Parameters of the TQT1-PLL are selected the same as in [1]. Both techniques are discretized using the explicit Euler method with a sampling frequency of 10 kHz.…”

Section: Signal Modeling and Estimator Designmentioning

confidence: 99%

“…Numerous techniques are available in the literature that deal with fast and accurate frequency estimation. Some popular tools are: phase-locked loop (PLL) ( [1], [2]) frequency-locked loop (FLL) [3], demodulation [4], least-square [5], Kalman filter [6], neural network [7] and so on.…”

Section: Introductionmentioning

confidence: 99%

“…A fast dynamic response comes at the cost of reduced harmonics robustness. Total quasi type-1 PLL (TQT1-PLL) [1] uses a proportional controller-based loop-filter, increasing the dynamic response without sacrificing much the harmonic robustness. FLL [3] and its many variants [7] use an integral controller to estimate the frequency.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Simple Frequency Estimator for Power Systems

Ahmed

Ushirobira²,

Efimov³

2021

IEEE Trans. Instrum. Meas.

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Fast and accurate frequency estimation of an unbalanced three-phase power system in the presence of measurement offset is a challenging task. A simple to implement and tune method is proposed in this work through a delay-based linearregression framework. Using two challenging scenarios, we verify the performance of our procedure in the presence of severe grid abnormalities, including voltage unbalance, harmonics, frequency jump, and DC offset. Comparative hardware-in-the-loop experimental results demonstrate the suitability of the proposed approach.

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“…Details of the experimental setup are given in [10]. As a comparison technique, TQT1-PLL [1] is used. Parameters of the TQT1-PLL are selected the same as in [1].…”

Section: Signal Modeling and Estimator Designmentioning

confidence: 99%

Section: Signal Modeling and Estimator Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Simple Frequency Estimator for Power Systems

Ahmed

Ushirobira²,

Efimov³

2021

IEEE Trans. Instrum. Meas.

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“…In [39], the authors proposed a novel synchronization algorithm based on a hybrid filtering technique to improve the operation of quasi-type-1 PLL under unbalanced grid voltage conditions. The authors of [40] proposed a novel FLL approach for grid synchronization that estimates the frequency and phase angle of the utility voltage in unbalanced and distorted conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

LMI-Based State Feedback Control Structure for Resolving Grid Connectivity Issues in DFIG-Based WT Systems

Ali¹

2021

Eng

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Pertaining to the connectivity issues in wind power plants with grids, this study introduces an efficient mechanism based on a state feedback control structure to establish a fast and stable grid connection for a wind-driven doubly-fed induction generator (DFIG). Owing to a direct link through stator windings, a DFIG is significantly vulnerable to grid disturbances and experiences sizable inrush currents when connected to the power grid. The proposed control structure is designed based on a linear matrix inequality stabilization criterion, which is framed using a suitable Lyapunov candidate function. The control objective is to ensure that the stator voltage can exponentially converge to the grid voltage, accounting for balanced and unbalanced grid conditions. This is achieved by generating appropriate rotor voltage references for rotor-side converter control. This study also explores the capability of the proposed control structure to enhance the system’s robustness to external disturbances and uncertain parametric variations. Simulations confirmed the effectiveness and suitability of the developed structure in mitigating the adverse effects of the rapid onset of the grid voltage at the stator terminals of the DFIG under various grid conditions; the proposed structure could thus establish a reliable connection with negligible effects on the DFIG and the grid.

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