Non-intrusive, self-supplying and wireless sensor for monitoring grounding cable in smart grids

Rodríguez, Fermín; Sánchez-Guardamino, Ignacio; Martín, Fernando; Fontán, Luis

doi:10.1016/j.sna.2020.112417

Cited by 8 publications

(2 citation statements)

References 27 publications

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“…Smart meters are at their core: they monitor consumption in real time and transmit data to the supplier to help make decisions about infrastructure optimization, and thus manage energy consumption [Waite et al, 2017;Ketter et al, 2018]. Smart devices also include sensors for monitoring the electricity quality [Bagdadee et al, 2020], power transmission losses [Song et al, 2017], the state of underground infrastructure [Rodríguez et al, 2020], automating system management [Wertani et al, 2020], monitoring the condition of equipment [Dileep, 2020], and so on. Blockchain technologies are finding wide application in creating secure digital environments [Carvalho, 2015;Adeyemi et al, 2020;Zhu et al, 2020].…”

Section: Main Areas Of Green Digitalization In the Electric Power Industrymentioning

confidence: 99%

Green digitalization in the electric power industry

Julia¹,

Proskuryakova²,

Starodubtseva³

et al. 2021

Foresight and STI Governance

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The lasting global economic downturn caused by the COVID-19 pandemic allows decision-makers and societies to re-think the basis and drivers of economic growth, laying the foundation for sustainable development. The green economic recovery takes place with a leading role played by the energy industry. This paper focuses on the application and desired effects of green digital technologies in the electric power industry in ten countries — the largest electricity producers and consumers. The study is designed in the framework of the sectoral innovation systems concept. The research tasks were addressed, first, through horizon scanning (the analysis of research and analytical publications). Second, the green digitialization indicators for the electric power industry in the selected countries were identified with the use of statistical and other available reliable data and compared. Third, a comparative analysis of national strategic documents was performed, along with corporate tasks and indicators that reflect the digital transformation at micro level. As a result of the study, key trends and three models of green digitalization at the national level were identified, the prerequisites and potential social and economic effects of the application of these technologies in electric power industry were described.

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Section: Main Areas Of Green Digitalization In the Electric Power Industrymentioning

confidence: 99%

Green digitalization in the electric power industry

Julia¹,

Proskuryakova²,

Starodubtseva³

et al. 2021

Foresight and STI Governance

View full text Add to dashboard Cite

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“…The proposal presented here is in line with the current trend of operating power lines at their maximum instantaneous capacity, since it allows the current rating to be adapted to existing weather conditions in real-time. In addition, it is simple to apply, requires a low computational burden, and is compatible with the Internet of Things (IoT), one of the crucial technologies that improves smartness in many industrial, power line and smart grid applications [ 29 , 30 , 31 ], whose basic function is to connect objects [ 32 ], including intercommunicating sensors [ 33 ], actuators and other smart technologies [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

On-Line Core Losses Determination in ACSR Conductors for DLR Applications

et al. 2022

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Dynamic line rating (DLR) is a method that focuses on dynamically determining the maximum allowable current of power lines, while ensuring they operate within safe limits. DLR needs to monitor the temperature and current of the line in real-time, as well as the weather variables in the surroundings of the power line. DLR approaches also require determining the AC resistance of the power line conductors, which is a key parameter that enables it to determine Joule and core losses. This paper presents an approach for an on-line alternating current (AC) resistance estimation of aluminum conductor steel-reinforced (ACSR) conductors to determine the DLR capability of such conductors from real-time conductor and meteorological parameter measurements. For this purpose, conductors with one, two and three layers of aluminum strands are analyzed in detail. Based on the experimental results presented in this paper, two possible approaches are proposed.

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