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

Authors :
Yuming Liu
Josep Sanllehi
Jordi-Roger Riba
Manuel Moreno-Eguilaz
Universitat Politècnica de Catalunya. Doctorat en Enginyeria Elèctrica
Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
Source :
Sensors, Vol 21, Iss 7388, p 7388 (2021), Sensors (Basel, Switzerland), UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC), Sensors, Volume 21, Issue 21
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

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.

Details

ISSN :
14248220
Volume :
21
Database :
OpenAIRE
Journal :
Sensors
Accession number :
edsair.doi.dedup.....4af933a65640761b56e3820e999902c4
Full Text :
https://doi.org/10.3390/s21217388