Access impedance in Brazilian in-home, broadband and low-voltage electric power grids

•Analyses of access impedances in the frequency band of 2–500MHz in PLC channels.•Study of which distributions better models the access impedance.•Formulation of an effective model to generate samples function of the access impedance. This paper focuses on the measurement, characterization and model...

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Bibliographic Details
Published in:Electric power systems research Vol. 171; pp. 141 - 149
Main Authors: Costa, Luís Guilherme da S., Colen, Guilherme R., de Queiroz, Antônio Carlos M., da Costa, Vinícius L.R., Vitor, Ulysses R.C., dos Santos, Filipe Vinci, Ribeiro, Moisés Vidal
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01-06-2019
Elsevier Science Ltd
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Summary:•Analyses of access impedances in the frequency band of 2–500MHz in PLC channels.•Study of which distributions better models the access impedance.•Formulation of an effective model to generate samples function of the access impedance. This paper focuses on the measurement, characterization and modeling of the access impedance of the Brazilian in-home, broadband and low-voltage electric power grids when the frequency band between 2 and 500Hz is taken into account. Also, it describes the measurement setup and the settings of a large measurement campaign that was carried out on several kinds of facilities in three different Brazilian cities. In addition, it presents a procedure to obtain a statistical model of the access impedance in the aforementioned frequency band. Then, based on the analysis of the measured access impedances and well-known criteria for choosing statistical models, this study suggests statistical distributions to model the resistance and reactance components of the access impedance. Also, it is shown that the access impedance is a nonstationary random process in the frequency domain. Furthermore, because of this property, this paper introduces a simple and effective model to generate sample functions, based on the suggested statistical distributions.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2019.02.015