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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Detalles Bibliográficos
Autores: Liu, Yuming, Riba Ruiz, Jordi-Roger|||0000-0001-8774-2389, Moreno Eguilaz, Juan Manuel|||0000-0001-6086-7034, Sanllehí Muñoz, Josep
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/355845
Acceso en línea:https://hdl.handle.net/2117/355845
https://dx.doi.org/10.3390/s21217388
Access Level:acceso abierto
Palabra clave:Microgrids (Xarxes elèctriques intel·ligents)
Wireless communication systems
Wind speed
Dynamic thermal line rating
ACSR conductor
Real-time monitoring
Wireless communications
Microxarxes (Xarxes elèctriques intel·ligents)
Detectors
Comunicació sense fil, Sistemes de
Àrees temàtiques de la UPC::Enginyeria electrònica
Descripción
Sumario: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.