Communication Technologies and Data Exchange Possibilities for Smart Energy Solutions

Tomlain, Juraj; Teren, Ondrej; Tomlain, Jan

doi:10.23919/ntsp.2018.8524097

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The adding nodes are numbered from 24 to 45 accordingly, and the load power is set as the average power value of the test system. Using the same method to solve the optimal configuration model, the optimal installation number of the acquisition unit of the fault indicator increases from 14 to 29, and the corresponding installation position is point 2, 3,4,5,6,8,9,10,11,12,13,15,18,22,25,26,27,28,30,31,32,33,34,35,40,42,43,44, and point 45, as shown in Figure 11. The optimal installation number of the collection unit still equals 1, but the corresponding installation position changed to point 28, as shown in Figure 11.…”

Section: Effect Of the Junction Nodes Of The Power Linementioning

confidence: 99%

“…Moreover, Wang et al [29] have tested the LoRa technology in the substation, which is in the complex electromagnetic environment, and the test results show that LoRa performed steady communication. Similarly, Tomlain Juraj [30] has proposed a custom hardware platform that is suitable for implementation of Internet of Things networks in Smart Grid systems. The communication range, reliability, and consumption testing results show that NB-IoT technology works well.…”

Section: Electromagnetic Interference In the Power Systemmentioning

confidence: 99%

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Optimal Placement of IoT-Based Fault Indicator to Shorten Outage Time in Integrated Cyber-Physical Medium-Voltage Distribution Network

Tang

Wang

et al. 2020

Energies

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Traditional fault indicators based on 3G and 4G cannot send out fault-generated information if the distribution lines are located in the system across remote mountainous or forest areas. Hence, power distribution systems in rural areas only rely on patrol to find faults currently, which wastes time and lacks efficiency. With the development of the Internet of things (IoT) technology, some studies have suggested combining the long-range (LoRa) and the narrowband Internet of Things (NB-IoT) technologies to increase the data transmission distance and reduce the self-built communication system operating cost. In this paper, we propose an optimal configuration scheme for novel intelligent IoT-based fault indicators. The proposed fault indicator combines LoRa and NB-IoT communication technologies with a long communication distance to achieve minimum power consumption and high-efficiency maintenance. Under this given cyber network and physical power distribution network, the whole fault location process depends on the fault indicator placement and the deployment of the communication network. The overall framework and the working principle of the fault indicators based on LoRa and NB-IoT are first illustrated to establish the optimization placement model of the proposed novel IoT-based fault indicator. Secondly, an optimization placement method has been proposed to obtain the optimal number of the acquisition and collection units of the fault indicators, as well as their locations. In the proposed method, the attenuation of the communication network and the power-supply reliability have been specially considered in the fault location process under the investment restrictions of the fault indicators. The effectiveness of the proposed method has been validated by the analysis results in an IEEE Roy Billinton Test System (IEEE-RBTS) typical system.

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Section: Effect Of the Junction Nodes Of The Power Linementioning

confidence: 99%

Section: Electromagnetic Interference In the Power Systemmentioning

confidence: 99%

Optimal Placement of IoT-Based Fault Indicator to Shorten Outage Time in Integrated Cyber-Physical Medium-Voltage Distribution Network

Tang

Wang

et al. 2020

Energies

View full text Add to dashboard Cite

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Experimental Evaluation of End-to-End Delay in a Sigfox Network

et al. 2022

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This work presents an experimental evaluation of end-to-end delay in Sigfox networks, considering measurements from the transmitter to the server. We carried out two types of cases. The first was a static experiment with a typical delivery time ranging between 2.5 and 4.5 seconds, with a 100% delivery rate. The second considers mobility, with the experiments carried out in mostly rural environments in which the transmitter is inside a car. In this case, we observed a delivery rate of 20% and an end-to-end delay of up to eight seconds. Our evaluation empirically indicates performance limitations that application developers should consider.

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Communication Technologies and Data Exchange Possibilities for Smart Energy Solutions

Cited by 2 publications

References 5 publications

Optimal Placement of IoT-Based Fault Indicator to Shorten Outage Time in Integrated Cyber-Physical Medium-Voltage Distribution Network

Optimal Placement of IoT-Based Fault Indicator to Shorten Outage Time in Integrated Cyber-Physical Medium-Voltage Distribution Network

Experimental Evaluation of End-to-End Delay in a Sigfox Network

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