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Field Trials for the Characterization of Non-Intentional Emissions at Low-Voltage Grid in the Frequency Range Assigned to NB-PLC Technologies

机译:在分配给NB-PLC技术的频率范围内表征低压电网非故意排放的现场试验

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The paper describes the results of a measurement campaign to characterize the non-intentional emissions (NIE) that are present in the low voltage section of the electrical grid, within the frequency range assigned to narrowband power line communications (NB-PLC), from 20 kHz to 500 kHz. These NIE may severely degrade the quality of the communications and, in some cases, even isolate the transmission devices. For this reason, the identification and characterization of these perturbations are important aspects for the proper performance of the smart grid services based on PLC. The proper characterization of NIE in this frequency range is a key aspect for the selection of efficient configurations to find the best trade-off between data throughput and robustness, or even for the definition of new improved error detection and correction methods. The huge number of types of NIE, together with the wide variety of grid topologies and loads distribution (density and location of homes and industrial facilities) are great challenges that complicate the thorough characterization of NIE. This work contributes with results from field trials in different scenarios, the identification of different types of NIE and the characterization both in time and frequency domains of all the registered disturbances. This contribution will be helpful for a better knowledge of the electrical grid as a transmission medium for PLC and, therefore, for evaluating the appropriateness of different robustness techniques to be applied in the next generation of smart grid services.
机译:本文描述了一项测量活动的结果,以表征在分配给窄带电力线通信(NB-PLC)的频率范围内,电网低压部分中存在的非故意发射(NIE),从20 kHz至500 kHz。这些NIE可能会严重降低通信质量,在某些情况下甚至会隔离传输设备。因此,对于基于PLC的智能电网服务的正常运行,这些扰动的识别和表征是重要的方面。在此频率范围内,NIE的正确表征是选择高效配置以在数据吞吐量和鲁棒性之间找到最佳折衷方案的关键方面,甚至是定义新的改进的错误检测和纠正方法的关键方面。 NIE种类繁多,网格拓扑结构和负载分布(房屋和工业设施的密度和位置)种类繁多,这些都是使NIE全面表征复杂化的巨大挑战。这项工作为不同情况下的现场试验结果,不同类型的NIE的识别以及所有已记录干扰的时域和频域特征化做出了贡献。此贡献将有助于更好地了解电网作为PLC的传输介质,因此有助于评估在下一代智能电网服务中应用的不同鲁棒性技术的适用性。

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