Characterization of Narrowband Noise and Channel Capacity for Powerline Communication in France

Elfeki, Imène; Jacques, Sébastien; Aouichak, Ismail; Doligez, Thierry; Raingeaud, Yves; Bunetel, Jean-Charles Le

doi:10.3390/en11113022

Cited by 20 publications

(15 citation statements)

References 36 publications

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“…Inspecting the raw data prior to filtering, 2 errors are located for this stream (c). A total BER of 0.003 % was noted, a fraction of the minimum accepted 10 -4 rate defined by the G3 Alliance [41]. This rate is similar to configuration 1, although more significant bits were corrupted, leading to larger variations in apparent temperature reading.…”

Section: Transient Drive Cycle (Configuration 2)mentioning

confidence: 86%

Development of Smart Battery Cell Monitoring System and Characterization on a Small-Module Through In-Vehicle Power Line Communication

Vincent

Marco

2020

IEEE Access

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Section: Transient Drive Cycle (Configuration 2)mentioning

confidence: 86%

Development of Smart Battery Cell Monitoring System and Characterization on a Small-Module Through In-Vehicle Power Line Communication

Vincent

Marco

2020

IEEE Access

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“…One such challenge is the intelligent management of electricity at all levels, from production to final consumption [1,2]. Distribution efficiency and the reliability of service delivery are two indicators that can be used to evaluate the performance of distribution systems [3,4]. The increasing deployment of smart grids has improved their monitoring and controllability [5].…”

Section: Introductionmentioning

confidence: 99%

A Bidirectional Grid-Connected DC–AC Converter for Autonomous and Intelligent Electricity Storage in the Residential Sector

et al. 2022

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Controlling the cost of electricity consumption remains a major concern, particularly in the residential sector. Smart home electricity management systems (HEMS) are becoming increasingly popular for providing uninterrupted power and improved power quality, as well as for reducing the cost of electricity consumption. When power transfer is required between a storage system and the AC grid, and vice versa, these HEMS require the use of a bidirectional DC–AC converter. This paper emphasizes the potential value of an almost unexplored topology, the design of which was based on the generation of sinusoidal signals from sinusoidal half waves. A DC–DC stage, which behaved as a configurable voltage source, was in series with a DC–AC stage, i.e., an H-bridge, to achieve an architecture that could operate in both grid and off-grid configurations. Wide bandgap power switches (silicon carbide metal-oxide-semiconductor field-effect transistors [MOSFETs]), combined with appropriate control strategies, were the keys to increasing compactness of the converter while ensuring good performance, especially in terms of efficiency. The converter was configured to automatically change the operating mode, i.e., inverter or rectifier in power factor correction mode, according to an instruction issued by the HEMS; the latter being integrated in the control circuit with automatic duty cycle management. Therefore, the HEMS set the amount of energy to be injected into the grid or to be stored. The experimental results validate the operating modes of the proposed converter and demonstrate the relevance of such a topology when combined with an HEMS, especially in the case of an AC grid connection. The efficiency measurements of the bidirectional DC–AC converter, performed in grid-connected inverter mode, show that we exceeded the efficiency target of 95% over the entire output power range studied, i.e., from 100 W to 1.5 kW.

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“…Measurement campaigns have also enabled the stochastic modeling of PLC channels [16]- [19], in order to understand the characteristics of the noise sources. In [18], regression and noise decomposition algorithms designed in [20] are applied to narrowband and broadband noise level measurements in low voltage (≤ 0.4 kV) power networks.…”

Section: Introductionmentioning

confidence: 99%

Markov Model Characterization of a Multicarrier Narrowband Powerline Channel With Memory in an Underground Mining Environment

Kolade

Cheng

2021

IEEE Access

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The error distribution of multicarrier modulation in a narrowband powerline communication (PLC) channel with memory is presented for an underground mining environment. In the environment, the noise in the PLC channel originates from the mains switchboard and a blast control unit, connected to the powerline link. Using the error vectors measured from the channel, the memory channel model is obtained by training the measured data using a hidden Markov model and the Fritchman model for channel state classification. The channel with memory is modeled by considering the state transition probabilities between the current state and one previous state of the channel. The measured and modeled data are then compared in order to determine the suitability of the derived models. Using the error-free run distribution and probabilities of error of the modeled data, the modeled data match the measured data, validating the suitability of the derived models for an underground mining environment.

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Characterization of Narrowband Noise and Channel Capacity for Powerline Communication in France

Cited by 20 publications

References 36 publications

Development of Smart Battery Cell Monitoring System and Characterization on a Small-Module Through In-Vehicle Power Line Communication

Development of Smart Battery Cell Monitoring System and Characterization on a Small-Module Through In-Vehicle Power Line Communication

A Bidirectional Grid-Connected DC–AC Converter for Autonomous and Intelligent Electricity Storage in the Residential Sector

Markov Model Characterization of a Multicarrier Narrowband Powerline Channel With Memory in an Underground Mining Environment

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