Real-time stability analysis of power electronic systems

Rygg, Atle; Molinas, Marta

doi:10.1109/compel.2016.7556663

Cited by 10 publications

(6 citation statements)

References 18 publications

(21 reference statements)

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“…This type of analysis has been further developed, with [52] using inexpensive hardware to estimate impedance from 20 Hz to 24 kHz, [77] using high resolution equipment to estimate the the impedance from 2 to 150 kHz, and [78] undertaking frequency sweeps of multiple frequencies simultaneously, increasing the data captured with each sweep. Frequency sweeps are not used only in utility grids but also in contained systems, such as on aircraft and ships [79], [80].…”

Section: ) Frequency Sweepsmentioning

confidence: 99%

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Review of Local Network Impedance Estimation Techniques

et al. 2020

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Section: ) Frequency Sweepsmentioning

confidence: 99%

“…Both techniques are also dependent on injecting an invasive, but low amplitude, disturbance. Worth considering, too, is the multi-sinusoidal injection described in [78].…”

Section: Ranking Of Techniques Based On Application Objectives Amentioning

confidence: 99%

Review of Local Network Impedance Estimation Techniques

et al. 2020

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“…Therefore, the second approach is implemented in this paper, where the online grid impedance estimation is performed in the sequence domain based on the voltage (v + abc ) and current ( i + abc ) measurements of the positive sequence. The grid impedance in the sequence domain (Z ± g ) is given based on Equation (12) [39].…”

Section: Grid Impedance Estimation Based On Prbs Injectionmentioning

confidence: 99%

“…. The curve fitting for parametric grid impedance purpose was also adopted in References [8,39]. However, both studies have not considered the unbalanced operation of the power system.…”

Section: Parametric Impedance Based On Complex Curve Fittingmentioning

confidence: 99%

Online Parametric Estimation of Grid Impedance Under Unbalanced Grid Conditions

2019

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Whereas power-electronics-based power systems are expected to enable more integration of renewable energy sources, they could pose crucial challenges including stability issues due to the Thévenin impedance seen by inverters. Such problems could be mitigated by enabling the inverters to estimate the grid impedance by including a grid impedance estimation technique into their control loop. However, one aspect which has been overlooked thus far is that the accuracy of such grid impedance estimation techniques is significantly affected by various grid conditions. For instance, the unbalance in three-phase power systems causes unwanted oscillations at double the fundamental frequency in the inverters control loops. Therefore, this paper proposes a simple and reliable online estimation of the grid impedance under unbalanced conditions. The technique is based on wide-band impedance estimation incorporated into the control loop of the positive sequence of a three-phase grid-connected inverter equipped with a positive-and negative-sequence control (PNSC) strategy. Additionally, complex curve fitting is utilized to obtain parametric models of the grid impedance. To demonstrate the efficacy of the proposed grid impedance estimation technique, extensive case studies are performed. These include: (1) unbalanced operations of both resistive-inductive (RL) and resistive-inductive-capacitive (RLC) models of the grid, (2) background harmonics, and (3) asymmetrical impedances of the network.

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“…The state variables are the d− and q− axis components of the inverter current (I injd , I injq ) and the filter capacitor voltage (V esd , V esq ). The equations are linearized around I injd0 , V esd0 (and similarly for the q− axis) to derive the SSM of the filter as in (17) and (18). The filter resistance, inductance and capacitance are given by R f , L f and C f , the load resistance is given by R N C and ω 0 denotes the nominal frequency of the network.…”

Section: Filtermentioning

confidence: 99%

Small Signal Stability Analysis of Distribution Networks with Electric Springs

Chakravorty

Guo

Chaudhuri

et al. 2018

2018 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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This paper presents small signal stability analysis of distribution networks with electric springs (ESs) installed at the customer supply points. The focus is on ESs with reactive compensation only. Vector control of ES with reactive compensation is reported for the first time to ensure compatibility with the standard stability models of other components such as the interface inverter of distributed generators (DGs). A linearized state-space model of the distribution network with multiple ESs is developed which is extendible to include inverter-interfaced DGs, energy storage, active loads etc. The impact of distance of an ES from the substation, proximity between adjacent ESs and the R/X ratio of the network on the small signal stability of the system is analyzed and compared against the case with equivalent DG inverters. The collective operation of ESs is validated through simulation study on a standard distribution network.

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Real-time stability analysis of power electronic systems

Cited by 10 publications

References 18 publications

Review of Local Network Impedance Estimation Techniques

Review of Local Network Impedance Estimation Techniques

Online Parametric Estimation of Grid Impedance Under Unbalanced Grid Conditions

Small Signal Stability Analysis of Distribution Networks with Electric Springs

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