Space vector-based model predictive current controller for grid-connected converter under unbalanced and distorted grid without a phase-locked loop

El-Nagar, Mohammed; Elattar, Omar; Ahmed, Khaled; Hamdan, Eman; Abdel-Khalik, Ayman S.; Hamad, Mostafa S.; Ahmed, Shehab

doi:10.1016/j.aej.2023.06.092

Cited by 2 publications

(3 citation statements)

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“…As a result, the current references are calculated based on ( 29)- (32) to suppress active power 2nd order oscillations depending on the estimated positive and negative fundamental components [43]. Considering the dynamic equation of the grid-tie transformerless voltage source converter interfaced via an L filter is discussed (R and L are the resistance and inductance of the filter), it is given in the stationary αβ reference frame by (25).…”

Section: Current Control Structurementioning

confidence: 99%

Section: Current Control Structurementioning

confidence: 99%

“…As a result, as compared to previous methods, better noise rejection has been obtained while avoiding tuning and delay concerns. In [43], authors presented a new space vector-based model predictive current controller to deal with unbalanced and distorted grid conditions. The current references in this model-predictive algorithm are computed based on symmetrical fundamental components of grid voltages.…”

Section: Introductionmentioning

confidence: 99%

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Modified Extended Complex Kalman Filter for DC Offset and Distortion Rejection in Grid-Tie Transformerless Converters

et al. 2023

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Proper operation of the grid-tie transformerless converters under unbalanced and distorted conditions entails a precise detection of the frequency and fundamental component of the grid voltage. One of the main problems that could arise during the estimation of grid parameters is the existence of a DC offset generated from measurement and A/D conversion. This undesirable induced DC offset could appear as a part of the reference sinusoidal current of grid-tie converters. Although literature has proposed the use of an extended complex Kalman filter (ECKF) for the estimation of positive and negative sequence voltage components as a promising competitor to phase locked loops, mitigating the effect of possible DC offsets when a Kalman filter is employed remains scarce. This paper proposes a new extended complex Kalman filter to improve the filter stability for estimating the frequency and the fundamental positive and negative symmetrical components of the grid voltages, where DC offset, scaling error, and noise can successfully be rejected. The theoretical findings are experimentally validated.

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Section: Current Control Structurementioning

confidence: 99%

Section: Current Control Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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