Extended coupled Norton model of modern power‐electronic devices for large‐scale harmonic studies in distribution networks

Müller, Sascha; Meyer, Jan; Schegner, Peter

doi:10.1049/iet-pel.2019.1444

Cited by 4 publications

(1 citation statement)

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“…Fitting algorithms are currently used to calculate RLC-elements that estimate the linear elements of the admittance matrix [23] while a current source represents the active parts and is defined by an amplitude, a phase angle and a frequency. This kind of black-box model can be used for large-scale steady state harmonic studies, but they are not intended and not able to reflect the dynamics of the PV inverter.…”

Section: Implementation Of System Dynamics In Simulationsmentioning

confidence: 99%

Feasibility of Black-Box Time Domain Modeling of Single-Phase Photovoltaic Inverters Using Artificial Neural Networks

et al. 2021

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This paper introduces a new black-box approach for time domain modeling of commercially available single-phase photovoltaic (PV) inverters in low voltage networks. An artificial neural network is used as a nonlinear autoregressive exogenous model to represent the steady state behavior as well as dynamic changes of the PV inverter in the frequency range up to 2 kHz. The data for the training and the validation are generated by laboratory measurements of a commercially available inverter for low power applications, i.e., 4.6 kW. The state of the art modeling approaches are explained and the constraints are addressed. The appropriate set of data for training is proposed and the results show the suitability of the trained network as a black-box model in time domain. Such models are required, i.e., for dynamic simulations since they are able to represent the transition between two steady states, which is not possible with classical frequency-domain models (i.e., Norton models). The demonstrated results show that the trained model is able to represent the transition between two steady states and furthermore reflect the frequency coupling characteristic of the grid-side current.

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Section: Implementation Of System Dynamics In Simulationsmentioning

confidence: 99%