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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/21/7388 |
| _version_ | 1797511691304435712 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:51:41Z |
| format | Article |
| id | doaj.art-2932aa2c5de2455e9cb228b71c9e2258 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T05:51:41Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2932aa2c5de2455e9cb228b71c9e22582023-11-22T21:40:53ZengMDPI AGSensors1424-82202021-11-012121738810.3390/s21217388Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line RatingYuming Liu0Jordi-Roger Riba1Manuel Moreno-Eguilaz2Josep Sanllehí3Campus Terrassa, Universitat Politècnica de Catalunya, Rambla Sant Nebridi 22, 08222 Terrassa, SpainCampus Terrassa, Universitat Politècnica de Catalunya, Rambla Sant Nebridi 22, 08222 Terrassa, SpainCampus Terrassa, Universitat Politècnica de Catalunya, Rambla Sant Nebridi 22, 08222 Terrassa, SpainSBI Connectors, Albert Einstein 5, 08635 Sant Esteve Sesrovires, SpainDynamic 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.https://www.mdpi.com/1424-8220/21/21/7388wind speeddynamic thermal line ratingACSR conductorreal-time monitoringwireless communications |
| spellingShingle | 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 Sensors wind speed dynamic thermal line rating ACSR conductor real-time monitoring wireless communications |
| title | 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_short | 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 |
| topic | wind speed dynamic thermal line rating ACSR conductor real-time monitoring wireless communications |
| url | https://www.mdpi.com/1424-8220/21/21/7388 |
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