Nowadays, power line communications (PLC) are a widely used technology in distribution grids, both for automatic meter reading and automation applications. PLC performances (in terms of capacity, coverage, robustness, and data transmission rate) can be significantly affected by electrical network topologies, connected loads and disturbances. Thus, utilities and modem manufacturers are increasing their interest in electrical network characterization. In this framework, a software tool is proposed in this paper to measure received signal and noise levels. As case study, it is implemented on a G3 PLC transceiver, widely used for smart metering purposes. In this way, a PLC channel characterization can be performed without connecting external instruments, by using already installed smart meters with the updated firmware. The software tool allows having a better understanding of signal attenuation influence on communication channel performances. Moreover, possible solutions could be suggested avoiding some frequency bands or regulating some transmission/reception parameters.

Implementation of a PLC Field Analyzer on a G3 Modem Platform

Di Cara Dario;Guaiana Salvatore;Panzavecchia Nicola;Tine Giovanni
2021

Abstract

Nowadays, power line communications (PLC) are a widely used technology in distribution grids, both for automatic meter reading and automation applications. PLC performances (in terms of capacity, coverage, robustness, and data transmission rate) can be significantly affected by electrical network topologies, connected loads and disturbances. Thus, utilities and modem manufacturers are increasing their interest in electrical network characterization. In this framework, a software tool is proposed in this paper to measure received signal and noise levels. As case study, it is implemented on a G3 PLC transceiver, widely used for smart metering purposes. In this way, a PLC channel characterization can be performed without connecting external instruments, by using already installed smart meters with the updated firmware. The software tool allows having a better understanding of signal attenuation influence on communication channel performances. Moreover, possible solutions could be suggested avoiding some frequency bands or regulating some transmission/reception parameters.
2021
Istituto di iNgegneria del Mare - INM (ex INSEAN)
9781728195391
communication signal
communication systems
power line communication
Power system communication
power sys
smart grids
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/446725
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