Application of LoRa and NB-IoT in Ubiquitous Power Internet of Things: A Case Study of Fault Indicator in Electricity Distribution Network

Tang, Jinrui; Li, Jing; Zhong, Ao; Xiong, Binyu; Bian, Xinhao; Li, Yang

doi:10.1109/igbsg.2019.8886170

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…The hybrid communication approach is tackled in other papers [17][18][19][20][21], combining the well-known and used LPWAN, ZigBee, or 5G communication systems to transmit smart grid issues to a control and command center.…”

Section: Smart Grid Challenges and Solutionsmentioning

confidence: 99%

Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement

Petrariu

Coca

Lavric

2021

Sensors

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Electric power infrastructure has revolutionized our world and our way of living has completely changed. The necessary amount of energy is increasing faster than we realize. In these conditions, the grid is forced to run against its limitations, resulting in more frequent blackouts. Thus, urgent solutions need to be found to meet this greater and greater energy demand. By using the internet of things infrastructure, we can remotely manage distribution points, receiving data that can predict any future failure points on the grid. In this work, we present the design of a fully reconfigurable wireless sensor node that can sense the smart grid environment. The proposed prototype uses a modular developed hardware platform that can be easily integrated into the smart grid concept in a scalable manner and collects data using the LoRaWAN communication protocol. The designed architecture was tested for a period of 6 months, revealing the feasibility and scalability of the system, and opening new directions in the remote failure prediction of low voltage/medium voltage switchgears on the electric grid.

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Section: Smart Grid Challenges and Solutionsmentioning

confidence: 99%

Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement

Petrariu

Coca

Lavric

2021

Sensors

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“…With the expansion of industrial scale and the development of science and technology, electrification is getting higher and higher, and new technologies and techniques are widely used in all aspects of industrial production and people's life [2][3][4]. A variety of complex, precise and sensitive high-tech power equipment has been popularized, and the requirements of power users for power quality are increasing [5][6][7]. At the same time, the number of rectifier-type, impact, and other nonlinear loads in the power system is increasing [8].…”

Section: Introductionmentioning

confidence: 99%

Research on power quality assessment based on ubiquitous power IoT

Zhang¹,

Zhi²,

Zhao³

et al. 2023

Applied Mathematics and Nonlinear Sciences

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With the rapid development of the Internet in this era, the traditional power grid is no longer able to meet the growing demand of the people for electricity. In order to realize a new generation of power system with comprehensive sensing, reliable transmission, intelligent processing and interconnection, the State Grid proposes the strategic goal of developing ubiquitous power IoT. Firstly, the concept and basic architecture of ubiquitous power IoT are elaborated, and then the main key technologies of the architecture of power energy consumption monitoring and management system are explained. The power quality parameters are measured and calculated, and the G1 method, which is computationally small and does not require consistency testing, is used to determine the subjective weights in the power quality evaluation process, which can truly reflect the power quality level of power grids in different regions. The information entropy method is used to determine the objective weights in the process of power quality evaluation to solve the error of artificially determined weights, and the combination of subjective weights and objective weights can more truly reflect the influence of each index on the comprehensive level of power quality. The results of the study show that PV is rated between 2 and 3 good when grid-connected and off-grid, and wind turbines are rated between 3 and 4 medium when grid-connected and off-grid. The results of the integrated assessment levels are in line with the actual situation and can meet the growing demand for electricity.

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“…In such an environment, the transmitted signals can be reflected, refracted, or scattered due to buildings, mountains, water, etc., causing fading. LoRaWAN, owing to its fading resilience and nonline-of-sight communication capability, allows for developing a real-time power distribution monitoring system in a suburban area [ 23 , 24 ]. The fourth use case is related to industry.…”

Section: Introductionmentioning

confidence: 99%

LoRaWAN for Smart Campus: Deployment and Long-Term Operation Analysis

Yasmin

Mikhaylov

Pouttu

2020

Sensors

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The recent years have gradually increased the value of wireless connectivity, making it the de facto commodity for both human users and the machines. In this paper, we summarize our experiences of deploying and managing for over two years the extensive indoor sensor network composed of more than three hundred devices connected over LoRaWAN low power wide area network (LPWAN) technology. We start by detailing the background and methodology of our deployment and then present the results of analyzing the network’s operation over a period of two years, focusing specifically on identifying the reasons after the packet losses. Our results reveal that despite the common assumptions, in a real-life network, the packets are lost not only during the on-air transmission but also within the backbone. Among the other interesting findings are the observed nonuniform distribution of the packet transmissions by the nodes in the networks, the seasonal effects on the packet delivery, and the observed effects of the interferences on network performance. The empirical results presented in the paper provide valuable insight into the performance of a real-life extensive LoRaWAN network deployed in an indoor environment and thus may be of interest both to the practitioners and academics.

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Application of LoRa and NB-IoT in Ubiquitous Power Internet of Things: A Case Study of Fault Indicator in Electricity Distribution Network

Cited by 9 publications

References 19 publications

Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement

Large-Scale Internet of Things Multi-Sensor Measurement Node for Smart Grid Enhancement

Research on power quality assessment based on ubiquitous power IoT

LoRaWAN for Smart Campus: Deployment and Long-Term Operation Analysis

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