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Measurement, Control and Monitoring in Smart Grids using NBIoT

机译:使用NBIOT的智能电网测量,控制和监控

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Traditional power grids are not suitable for the modern power demands. There are several drawbacks of traditional grids when it comes to the issues related to the modern power demands. Smart Grids (SGs) are the results of the failure of the traditional power grids. SGs have strong communication and networking support and Internet of things (IoT) is suitable for them. IoT provides the key sensing, measurement, control, and actuation related operations in S G. In fact, IoT is suitable for several critical applications in SG because it can be deployed at locations where human presence is not possible due to the dangers to human lives. Even large measuring and monitoring devices are not suitable for wide deployment in the S Gs. In such cases, critical information can be collected through IoT sensors and it can be sent directly to the data processing hubs of the SGs. As the sizes of SGs are large, it is obvious that large scale IoT deployments are needed to cover the whole SG networks. For this large scale deployment an energy efficient form of IoT is necessary. Narrowband IoT (NBIoT) is one such low energy version of the IoT. It is very much energy efficient and suitable for large scale deployments. This research work presents the general features of NBIoT and the motivation for using it for SG networks. The proposed research work mainly focus on the measurement, control and monitoring related applications in SGs. Further, the effectiveness of NBIoT for the long term sustainability related issues in SGs are illustrated.
机译:传统的电网不适合现代电力需求。涉及与现代电力需求相关的问题时,传统网格有几个缺点。智能网格(SGS)是传统电网故障的结果。 SGS拥有强大的沟通和网络支持,以及物联网(IOT)适合他们。 IOT提供了S G中的关键感应,测量,控制和致动相关操作。事实上,IOT适用于SG中的几个关键应用,因为它可以在由于对人类生活的危险而无法实现人类存在的地方部署。即使是大型测量和监控设备也不适用于S GS中的广泛部署。在这种情况下,可以通过IOT传感器收集关键信息,并且可以直接发送到SGS的数据处理集线器。随着SGS的大小很大,很明显,需要大规模的IOT部署来覆盖整个SG网络。对于这种大规模部署,需要一种节能的IOT形式。窄带物联网(NBIOT)是IOT的一个如此低的能源版本。它是非常有效的,适合大规模的部署。这项研究工作介绍了NBIOT的一般特征和对SG网络使用它的动机。拟议的研究工作主要关注SGS中的测量,控制和监测相关申请。此外,说明了在SGS中长期可持续性相关问题的NBIOT的有效性。

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