Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation

Abstract

The aim of the present work is to provide the theoretical fundamentals needed to monitor power grids using high frequency sensors. In our context, network monitoring refers to the harvesting of different kinds of information: topology of the grid, load changes, presence of faults and cable degradation. We rely on transmission line theory to carry out a thorough analysis of how high frequency signals, such those produced by power line modems, propagate through multi-conductor power networks. We also consider the presence of electrical anomalies on the network and analyze how they affect the signal propagation. In this context, we propose two models that rely on reflectometric and end-to-end measurements to extrapolate information about possible anomalies. A thorough discussion is carried out to explain the properties of each model and measurement method, in order to enable the development of appropriate anomaly detection and location algorithms.

arXiv commentA version of this paper has been submitted to an IEEE Journal

References in corpus (3)

• State-of-the-art in Power Line Communications: from the Applications to the Medium
• Smart Grid Monitoring Using Power Line Modems: Anomaly Detection and Localization
• Analysis of High Frequency Impedance Measurement Techniques for Power Line Network Sensing

Cited by in corpus (4)

• Smart Grid Monitoring Using Power Line Modems: Anomaly Detection and Localization
• Orthogonal Chirp Division Multiplexing for Power Line Sensing via Time-Domain Reflectometry
• Physical Layer Key Generation for Secure Power Line Communications
• On the Suitability of PLC Pulses for Power Line Fault Sensing via Time-Domain Reflectometry