Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating

Dynamic thermal line rating (DTLR) allows us to take advantage of the maximum transmission capacity of power lines, which is an imperious need for future smart grids. This paper proposes a real-time method to determine the DTLR rating of aluminum conductor steel-reinforced (ACSR) conductors. The pro...

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Autores principales:	Yuming Liu, Jordi-Roger Riba, Manuel Moreno-Eguilaz, Josep Sanllehí
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	wind speed dynamic thermal line rating ACSR conductor real-time monitoring wireless communications Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/2932aa2c5de2455e9cb228b71c9e2258
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spelling	oai:doaj.org-article:2932aa2c5de2455e9cb228b71c9e22582021-11-11T19:19:07ZAnalysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating10.3390/s212173881424-8220https://doaj.org/article/2932aa2c5de2455e9cb228b71c9e22582021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7388https://doaj.org/toc/1424-8220Dynamic thermal line rating (DTLR) allows us to take advantage of the maximum transmission capacity of power lines, which is an imperious need for future smart grids. This paper proposes a real-time method to determine the DTLR rating of aluminum conductor steel-reinforced (ACSR) conductors. The proposed approach requires a thermal model of the line to determine the real-time values of the solar radiation and the ambient temperature, which can be obtained from weather stations placed near the analyzed conductors as well as the temperature and the current of the conductor, which can be measured directly with a <i>Smartconductor</i> and can be transmitted wirelessly to a nearby gateway. Real-time weather and overhead line data monitoring and the calculation of DTLR ratings based on models of the power line is a practical smart grid application. Since it is known that the wind speed exhibits important fluctuations, even in nearby areas, and since it plays a key role in determining the DTLR, it is essential to accurately estimate this parameter at the conductor’s location. This paper presents a method to estimate the wind speed and the DTLR rating of the analyzed conductor. Experimental tests have been conducted to validate the accuracy of the proposed approach using ACSR conductors.Yuming LiuJordi-Roger RibaManuel Moreno-EguilazJosep SanllehíMDPI AGarticlewind speeddynamic thermal line ratingACSR conductorreal-time monitoringwireless communicationsChemical technologyTP1-1185ENSensors, Vol 21, Iss 7388, p 7388 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wind speed dynamic thermal line rating ACSR conductor real-time monitoring wireless communications Chemical technology TP1-1185
spellingShingle	wind speed dynamic thermal line rating ACSR conductor real-time monitoring wireless communications Chemical technology TP1-1185 Yuming Liu Jordi-Roger Riba Manuel Moreno-Eguilaz Josep Sanllehí Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating
description	Dynamic thermal line rating (DTLR) allows us to take advantage of the maximum transmission capacity of power lines, which is an imperious need for future smart grids. This paper proposes a real-time method to determine the DTLR rating of aluminum conductor steel-reinforced (ACSR) conductors. The proposed approach requires a thermal model of the line to determine the real-time values of the solar radiation and the ambient temperature, which can be obtained from weather stations placed near the analyzed conductors as well as the temperature and the current of the conductor, which can be measured directly with a <i>Smartconductor</i> and can be transmitted wirelessly to a nearby gateway. Real-time weather and overhead line data monitoring and the calculation of DTLR ratings based on models of the power line is a practical smart grid application. Since it is known that the wind speed exhibits important fluctuations, even in nearby areas, and since it plays a key role in determining the DTLR, it is essential to accurately estimate this parameter at the conductor’s location. This paper presents a method to estimate the wind speed and the DTLR rating of the analyzed conductor. Experimental tests have been conducted to validate the accuracy of the proposed approach using ACSR conductors.
format	article
author	Yuming Liu Jordi-Roger Riba Manuel Moreno-Eguilaz Josep Sanllehí
author_facet	Yuming Liu Jordi-Roger Riba Manuel Moreno-Eguilaz Josep Sanllehí
author_sort	Yuming Liu
title	Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating
title_short	Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating
title_full	Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating
title_fullStr	Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating
title_full_unstemmed	Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating
title_sort	analysis of a smart sensor based solution for smart grids real-time dynamic thermal line rating
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2932aa2c5de2455e9cb228b71c9e2258
work_keys_str_mv	AT yumingliu analysisofasmartsensorbasedsolutionforsmartgridsrealtimedynamicthermallinerating AT jordirogerriba analysisofasmartsensorbasedsolutionforsmartgridsrealtimedynamicthermallinerating AT manuelmorenoeguilaz analysisofasmartsensorbasedsolutionforsmartgridsrealtimedynamicthermallinerating AT josepsanllehi analysisofasmartsensorbasedsolutionforsmartgridsrealtimedynamicthermallinerating
_version_	1718431516294381568

Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating

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