The ITU-T G.9960 broadband PLC communication concept for smartgrid applications

Mengi, Anil; Ponzelar, Sebastian; Koch, Michael

doi:10.1109/smartgridcomm.2017.8340715

Cited by 11 publications

(6 citation statements)

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“…PLC is a commonly used solution to enable information and communication technology for the smart grid [16]- [18]. Power line modems (PLMs) that transmit and receive smart grid data constantly estimate the power line channel state information (PLCSI) for adapting their operation.…”

Section: Introductionmentioning

confidence: 99%

Power Line Communication and Sensing Using Time Series Forecasting

Huo¹,

Prasad²,

Lampe³

et al. 2021

Preprint

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Monitoring grid assets continuously is critical in ensuring the reliable operation of the electricity grid system and improving its resilience in case of a defect. In light of several asset monitoring techniques in use, power line communication (PLC) enables a low-cost cable diagnostics solution by re-using smart grid data communication modems to also infer the cable health using the inherently estimated communication channel state information. Traditional PLC-based cable diagnostics solutions are dependent on prior knowledge of the cable type, network topology, and/or characteristics of the anomalies. In contrast, we develop an asset monitoring technique in this paper that can detect various types of anomalies in the grid without any prior domain knowledge. To this end, we design a solution that first uses time-series forecasting to predict the PLC channel state information at any given point in time based on its historical data. Under the assumption that the prediction error follows a Gaussian distribution, we then perform chi-squared statistical test to determine the significance level of the resultant Mahalanobis distance to build our anomaly detector. We demonstrate the effectiveness and universality of our solution via evaluations conducted using both synthetic and real-world data extracted from low-and medium-voltage distribution networks.

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Section: Introductionmentioning

confidence: 99%

Power Line Communication and Sensing Using Time Series Forecasting

Huo¹,

Prasad²,

Lampe³

et al. 2021

Preprint

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“…PLC technology may be classified into two main categories: Broadband PLC (BB-PLC) and Narrowband PLC (NB-PLC) [2]. The BB-PLC category was initially designed aiming household applications [3], however, documents such as the IEEE 1901-2010 standard [4] and the ITU-T G.9960-2010 recommendation [5] have regulated its use also for applications in public power grids, given its promising characteristics for smart meters and advanced networks control applications, as addressed by [6].…”

Section: Introductionmentioning

confidence: 99%

Effects of Electromagnetic Interference Caused by Lighting Technologies in Bb-PLC Systems

Cardoso¹,

Freitas²,

Castellanos³

et al. 2020

ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)

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Powerline communication (PLC) is a promising technology that allows data transmission through electric power distribution networks, with the advantage of using an existing infrastructure, reducing costs in maintenance and installation of telecommunication systems. However, once power systems are not designed specifically for data transmission, it may exhibit limiting electromagnetic interference characteristics for desirable system performance. This paper aims to analyze data rate performance of a Broadband PLC system when operating under conditions of conducted and radiated electromagnetic interference caused by lighting devices. The analyzed data transmission system presented good performance when subject to radiated electromagnetic interference, but was shown to be sensitive to conducted disturbances caused by lighting devices.

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“…6], [8]. To counter this, we propose reusing power line modems (PLMs) that are installed in the grid for smartgrid communications purposes [9], [10]. Any two PLMs in the network communicating with each other, regularly estimate the power line communication (PLC) channel condition between them for efficient end-to-end communications.…”

Section: Introductionmentioning

confidence: 99%

Cable Diagnostics With Power Line Modems for Smart Grid Monitoring

et al. 2019

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Remote monitoring of electrical cable conditions is an essential characteristic of the next-generation smart grid, which features the ability to consistently surveil and control the grid infrastructure. In this paper, we propose a technique that harnesses power line modems (PLMs) as sensors for monitoring cable health. We envisage that all or most of these PLMs have already been deployed for data communication purposes and focus on the distribution grid or neighborhood area networks in the smart grid. For such a setting, we propose a machine learning (ML) based framework for automatic cable diagnostics by continuously monitoring the cable status to identify, assess, and locate possible degradations. As part of our technique, we also synthesize state-of-the-art reflectometry methods within the PLMs to extract beneficial features for effective performance of our proposed ML solution. Simulation results demonstrate the effectiveness of our solution under different aging conditions and varying load configurations. Finally, we reflect on our proposed diagnostics method by evaluating its robustness and comparing it with existing alternatives.

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The ITU-T G.9960 broadband PLC communication concept for smartgrid applications

Cited by 11 publications

References 0 publications

Power Line Communication and Sensing Using Time Series Forecasting

Power Line Communication and Sensing Using Time Series Forecasting

Effects of Electromagnetic Interference Caused by Lighting Technologies in Bb-PLC Systems

Cable Diagnostics With Power Line Modems for Smart Grid Monitoring

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