A diagnostic method for power line networks by channel estimation of PLC devices

Lehmann, Andreas M.; Raab, Katrin; Gruber, Florian; Fischer, Erik; Müller, Ralf R.; Huber, Johannes B.

doi:10.1109/smartgridcomm.2016.7778781

Cited by 21 publications

(11 citation statements)

References 14 publications

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“…Similar information is obtained by [106] from the grid impedance. In addition, the channel transfer function (CTF) is used in [107] for fault detection, whereas in [108,109] it is used for monitoring the aging of the grid cable. The variations of the CTF are studied in [110] to detect anomalies in the grid used by comparing the CTF properties before and after an occurrence.…”

Section: Grid Monitoringmentioning

confidence: 99%

Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges

González-Ramos

Uribe-Pérez

Sendin

et al. 2022

Sensors

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This article reviews the basis and the main aspects of the recent evolution of Broadband Power Line Communications (BB-PLC or, more commonly, BPL) technologies. The article starts describing the organizations and alliances involved in the development and evolution of BPL systems, as well as the standardization institutions working on PLC technologies. Then, a short description of the technical foundation of the recent proposed technologies and a comparison of the main specifications are presented; the regulatory activities related to the limits of emissions and immunity are also addressed. Finally, some representative applications of BPL and some selected use cases enabled by these technologies are summarized, together with the main challenges to be faced.

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Section: Grid Monitoringmentioning

confidence: 99%

Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges

González-Ramos

Uribe-Pérez

Sendin

et al. 2022

Sensors

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“…In this paper, we further propose to re-use PLC modems for cable diagnostics as a use case of joint communication and sensing [ 5 ] for the smart grid. This provides the benefits of realizing a low-cost solution that can operate in an online, independent, and automatic manner without requiring any new component installations [ 6 , 7 , 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…In this context, we refer to PLCSI as any parameter that conveys the channel behavior, either directly, e.g., channel frequency response (CFR) or access impedance, or indirectly, e.g., signal-to-noise ratio (SNR) or precoder matrix. Prior articles have shown that this estimated PLCSI also contains information that can be used as a smart grid sensing solution to infer cable health conditions [ 6 , 7 , 8 , 9 , 10 , 11 ]. We build on these methods to propose an enhanced cable diagnostics solution using time series forecasting.…”

Section: Introductionmentioning

confidence: 99%

“…Various PLC-based solutions have been developed in the past to exploit the through-the-grid nature of PLC signals to gain insights into the characteristics of the transmission medium [ 6 , 7 , 8 , 9 , 10 , 11 , 21 ]. Many of the proposed PLC-based diagnostic solutions typically require a reference healthy measurement, i.e., PLCSI of the exact type of the deployed cable that is undamaged (e.g., [ 8 , 9 , 10 ]). PLCSI estimated within the PLM is then compared against this reference measurement to infer the health of the cable.…”

Section: Introductionmentioning

confidence: 99%

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Power Line Communication and Sensing Using Time Series Forecasting

Huo

Prasad

Lampe

et al. 2022

Sensors

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Smart electrical grids rely on data communication to support their operation and on sensing for diagnostics and maintenance. Usually, the roles of communication and sensing equipment are different, i.e., communication equipment does not participate in sensing tasks and vice versa. Power line communication (PLC) offers a cost-effective solution for joint communication and sensing for smart grids. This is because the high-frequency PLC signals used for data communication also reveal detailed information regarding the health of the power lines that they travel through. Traditional PLC-based power line or cable diagnostic solutions are dependent on prior knowledge of the cable type, network topology, and/or characteristics of the anomalies. In this paper, we develop a power line sensing technique that can detect various types of cable anomalies 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 approximation that the prediction error follows a Gaussian distribution, we then perform chi-squared statistical test to build an anomaly detector which identifies the occurrence of a cable fault. We demonstrate the effectiveness and universality of our sensing solution via evaluations conducted using both synthetic and real-world data extracted from low- and medium-voltage distribution networks.

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“…Many of the proposed PLC-based diagnostics solutions typically require a reference healthy measurement, i.e., PLCSI of a cable that is not damaged (e.g., [7], [8]). PLCSI estimated within the PLM is then compared against this reference measurement to infer the health of the cable.…”

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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A diagnostic method for power line networks by channel estimation of PLC devices

Cited by 21 publications

References 14 publications

Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges

Upgrading the Power Grid Functionalities with Broadband Power Line Communications: Basis, Applications, Current Trends and Challenges

Power Line Communication and Sensing Using Time Series Forecasting

Power Line Communication and Sensing Using Time Series Forecasting

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