LAPSE:2023.25895
Published Article
LAPSE:2023.25895
Measurement-Based Distribution Grid Harmonic Impedance Models and Their Uncertainties
Ravi Shankar Singh, Vladimir Ćuk, Sjef Cobben
March 31, 2023
Aggregated Norton’s equivalent models, with parallel impedance and current injection at different harmonic frequencies are used to model the distribution grid in harmonic studies. These models are derived based on measurements and/or prior knowledge about the grid. The measurement-based distribution (sub-)grid impedance estimation method uses harmonic phasors of 3-phase current and voltage measurements to capture the response of the distribution (sub-)grid before and after an event in the utility side of the grid. However, due to increasing non-linear components in the grid, knowledge about uncertainty in parameters of such equivalent models which intrinsically describe a linear grid becomes important. The aim of this paper is to present two novel methods to calculate the uncertainty of the measurement-based Norton’s equivalent harmonic model of the distribution (sub-)grids as seen from the utility side at the Point of Common Coupling (PCC). The impedance and the uncertainty calculations are demonstrated on a simulated network.
Keywords
customer side impedance, harmonic contribution, harmonic distortion, power quality, sub-grid impedance
Suggested Citation
Singh RS, Ćuk V, Cobben S. Measurement-Based Distribution Grid Harmonic Impedance Models and Their Uncertainties. (2023). LAPSE:2023.25895
Author Affiliations
Singh RS: Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
Ćuk V: Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
Cobben S: Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
Journal Name
Energies
Volume
13
Issue
16
Article Number
E4259
Year
2020
Publication Date
2020-08-17
Published Version
ISSN
1996-1073
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PII: en13164259, Publication Type: Journal Article
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doi:10.3390/en13164259
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