Calculation of the overhead transmission line conductor temperature in real operating conditions

Beňa, Ľubomír; Gáll, Vladimír; Kanálik, Martin; Kolcun, Michal; Margitová, Anastázia; Mészáros, Alexander; Urbanský, Jakub

doi:10.1007/s00202-020-01107-2

Cited by 17 publications

(10 citation statements)

References 37 publications

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“…Heat losses due to radiation are calculated as [ 12 ]: P R = πεDσ B [( T + 273) 4 − ( T a + 273) 4 ] [W/m] where ε is the emissivity factor of the surface of the conductor (its value is often assumed to be 0.5 [ 2 , 45 ]) and σ Β is the Stefan-Boltzmann constant.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The growing demand for electricity is forcing system operators to take full advantage of the maximum capacity of existing power lines [ 1 ]. However, the maximum allowable temperature of the conductor must not be exceeded, as it defines the current carrying capacity of the conductor [ 2 ]. The ampacity or maximum allowable loading current is established by the maximum permissible temperature of the conductor [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

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On-Line Core Losses Determination in ACSR Conductors for DLR Applications

et al. 2022

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Dynamic line rating (DLR) is a method that focuses on dynamically determining the maximum allowable current of power lines, while ensuring they operate within safe limits. DLR needs to monitor the temperature and current of the line in real-time, as well as the weather variables in the surroundings of the power line. DLR approaches also require determining the AC resistance of the power line conductors, which is a key parameter that enables it to determine Joule and core losses. This paper presents an approach for an on-line alternating current (AC) resistance estimation of aluminum conductor steel-reinforced (ACSR) conductors to determine the DLR capability of such conductors from real-time conductor and meteorological parameter measurements. For this purpose, conductors with one, two and three layers of aluminum strands are analyzed in detail. Based on the experimental results presented in this paper, two possible approaches are proposed.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On-Line Core Losses Determination in ACSR Conductors for DLR Applications

et al. 2022

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“…The temperature that a conductor reaches depends on different parameters [7]. First of all, it will depend on the load current and the electrical characteristics of the conductor.…”

Section: Thermal Line Ratingsmentioning

confidence: 99%

Benefit analysis in power generation dispatch using dynamic line ratings on transmission lines

Castillo¹,

Albizu²,

Bedialauneta³

et al. 2022

REPQJ

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This paper analyzes the different ampacity limits used in power transmission lines, static line ratings (SLR) and dynamic line ratings (DLR). This paper seeks to quantify the economic benefits that are obtained and how much the wind generation increases based on different line ampacities. With information from monitoring systems and weather stations, ampacity predictions are made for use in the market and operational phases of the power system. Different simulations are carried out on the IEEE 24-bus system, using different ampacity values calculated based on considered risk levels. The results show the economic benefits of using DLR on the system lines.

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“…where ε is the emissivity factor, which depends on the conductor surface, and it is assumed to be 0.5 [4,37], and where σ B = 5.6697 × 10 −8 W/(m 2 K 4 ) is the Stefan-Boltzmann constant. Finally, the DTLR rating is determined when the conductor temperature reaches it maximum value under thermal equilibrium, so from ( 6) and ( 8), it results in [5,28]:…”

Section: Yesmentioning

confidence: 99%

“…The allowable conductor temperature limits the load or current capacity of the power line, so the operating temperature must be restricted to below the allowable operating temperature to limit the ground clearance of the conductors [4]. Dynamic thermal line rating (DTLR) offers a solution to this problem because it is a smart and cost-effective solution for utilizing the maximum ampacity or ampere capacity of transmission lines [5], which differs from static line rating (SLR), the conventional and simple approach, which is based on conservative criteria [5] that represent severe or worst case weather conditions [6].…”

Section: Introductionmentioning

confidence: 99%

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

Liu

Riba

Moreno-Eguilaz

et al. 2021

Sensors

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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.

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Calculation of the overhead transmission line conductor temperature in real operating conditions

Cited by 17 publications

References 37 publications

On-Line Core Losses Determination in ACSR Conductors for DLR Applications

On-Line Core Losses Determination in ACSR Conductors for DLR Applications

Benefit analysis in power generation dispatch using dynamic line ratings on transmission lines

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

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