2018
DOI: 10.1109/tie.2018.2801784
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Observer-Based Pulsed Signal Injection for Grid Impedance Estimation in Three-Phase Systems

Abstract: Abstract-This paper addresses the estimation of the grid impedance and the control of grid-tied converters by combining pulsed-signal injection and observer based techniques. A Luenberger based observer is used for controlling the grid-side current of an LCL filter by only measuring the converter-side currents and the grid-side voltage. This configuration mitigates the effects of parameter variation at the LCL filter. Under grid impedance changes, the observer control signal will be used for triggering the sig… Show more

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Cited by 57 publications
(28 citation statements)
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“…Using that approach, and assuming there is no cross-coupling between the phases, the impedance can be represented by (5). In the case cross-coupling is considered, it will be represented by nondiagonal terms [32]. However, it should be noted that crosscoupling impedances in low-voltage distribution networks have, generally, a negligible value compared to the phase impedances [33].…”
Section: Rg Lgmentioning
confidence: 99%
“…Using that approach, and assuming there is no cross-coupling between the phases, the impedance can be represented by (5). In the case cross-coupling is considered, it will be represented by nondiagonal terms [32]. However, it should be noted that crosscoupling impedances in low-voltage distribution networks have, generally, a negligible value compared to the phase impedances [33].…”
Section: Rg Lgmentioning
confidence: 99%
“…Several methods for estimating the grid impedance have been proposed, see [3]- [20] and the papers cited therein. For the impedance estimation, grid converters have been utilized to inject an excitation signal to the grid [3]- [16]. On the contrary, the impedance has been estimated passively using existing power system disturbances [17], [18].…”
Section: Introductionmentioning
confidence: 99%
“…of the grid impedance, e.g., [8]- [13]. The identification has been carried out using Fourier analysis [8], recursive parameter estimation [9], [10], model predictive control [11], extended Kalman filter [12], and wavelets [13].…”
Section: Introductionmentioning
confidence: 99%