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A Comprehensive Review on Smart Grids: Challenges and Opportunities
Article

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

1
Campus Terrassa, Universitat Politècnica de Catalunya, Rambla Sant Nebridi 22, 08222 Terrassa, Spain
2
SBI Connectors, Albert Einstein 5, 08635 Sant Esteve Sesrovires, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Fco Javier Rodríguez
Sensors 2021, 21(21), 7388; https://doi.org/10.3390/s21217388
Received: 15 October 2021 / Revised: 1 November 2021 / Accepted: 2 November 2021 / Published: 6 November 2021
(This article belongs to the Special Issue Smart Sensor for Smartgrids and Microgrids)
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 Smartconductor 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. View Full-Text
Keywords: wind speed; dynamic thermal line rating; ACSR conductor; real-time monitoring; wireless communications wind speed; dynamic thermal line rating; ACSR conductor; real-time monitoring; wireless communications
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MDPI and ACS Style

Liu, Y.; Riba, J.-R.; Moreno-Eguilaz, M.; Sanllehí, J. Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating. Sensors 2021, 21, 7388. https://doi.org/10.3390/s21217388

AMA Style

Liu Y, Riba J-R, Moreno-Eguilaz M, Sanllehí J. Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating. Sensors. 2021; 21(21):7388. https://doi.org/10.3390/s21217388

Chicago/Turabian Style

Liu, Yuming, Jordi-Roger Riba, Manuel Moreno-Eguilaz, and Josep Sanllehí. 2021. "Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating" Sensors 21, no. 21: 7388. https://doi.org/10.3390/s21217388

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