High-frequency signals were widely studied in the last decade to identify grid and channel conditions in PLNs. PLMs operating on the grid's physical layer are capable of transmitting such signals to infer information about the grid. Hence, PLC is a suitable communication technology for SG applications, especially suited for grid monitoring and surveillance. In this paper, we provide several contributions: 1) a classification of PLC-based applications; 2) a taxonomy of the related methodologies; 3) a review of the literature in the area of PLC Grid Information Inference (GII); and, insights that can be leveraged to further advance the field. We found research contributions addressing PLMs for three main PLC-GII applications: topology inference, anomaly detection, and physical layer key generation. In addition, various PLC-GII measurement, processing, and analysis approaches were found to provide distinctive features in measurement resolution, computation complexity, and analysis accuracy. We utilize the outcome of our review to shed light on the current limitations of the research contributions and suggest future research directions in this field.

中文翻译：

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通过电力线通信推断电网信息：回顾和见解

在过去十年中，高频信号被广泛研究，以识别 PLN 中的电网和通道状况。在电网物理层上运行的 PLM 能够传输此类信号以推断有关电网的信息。因此，PLC 是一种适合 SG 应用的通信技术，特别适合电网监控和监视。在本文中，我们提供了几个贡献：1）基于 PLC 的应用程序的分类；2）相关方法的分类；3）PLC电网信息推理（GII）领域的文献综述；以及可用于进一步推进该领域的见解。我们发现针对三种主要 PLC-GII 应用的 PLM 的研究贡献：拓扑推断、异常检测和物理层密钥生成。另外，各种PLC-GII测量，人们发现处理和分析方法在测量分辨率、计算复杂性和分析精度方面具有独特的特征。我们利用审查结果来阐明当前研究贡献的局限性，并提出该领域未来的研究方向。