Case study of the increase in capacity of transmission lines in the Chilean system through probabilistic calculation model based on dynamic thermal rating

Muñoz, Francisca; Torres, Fernando; Martı́nez, Servet; Roa, Claudio; Garcia, L.

doi:10.1016/j.epsr.2019.01.008

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…Therefore, the conductor temperature and the elongation may differ between each span depending on the span circumstances due to their terrain, wind direction, and shield span to solar radiation. Hence, one or several critical stringing spans have been identified by taking into account the length of the span, shield span, unequal level span, and low wind speed to acquire the lower current carrying capacity, ampacity, or high sag occurrences, which will affect the entire line [123], [138]- [140]. Therefore, a weather station or device measurement is placed on the line or near transmission lines.…”

Section: A Monitoring Devicesmentioning

confidence: 99%

Review of Thermal Stress and Condition Monitoring Technologies for Overhead Transmission Lines: Issues and Challenges

et al. 2020

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The overhead transmission line system is one of the methods of transmitting electrical energy at a high voltage from one point to another, especially over long distances. The demand for electrical energy is increasing due to the increase in the world population, the evolution of transport technology, and economic expansion, thereby resulting in overloading to the overhead line (OHL) system. In building new infrastructure for transmission lines, several issues need to be addressed. Thus, optimizing existing power by increasing the ampacity of power line is a practical solution to meet energy demand issues. During long-term operation, the temperature of OHL conductors may increase beyond their rated temperature, which is typically 75 °C for conventional conductors such as aluminum-conductor steel-reinforced cable. This condition is defined as thermal stress, which results in lower sag vertical clearance, tensile loss, elongation and creep, and reduced life span of the conductors. This condition must be avoided to ensure that the line is not permanently elongated, which can disrupt the vertical ground clearance, and to expand the conductor's life. Other factors such as lightning, wildfire, aging, and degradation of the conductor can also cause thermal stress on the conductors and have thermal effects on the conductor's performance. Therefore, unwanted thermal stress needs to be examined and identified by monitoring the thermal effect and behavior of the lines. This paper presents the state of the art in monitoring technologies that can be used to identify thermal stress on OHL conductors, including the issues and challenges in monitoring. At the end of this paper, a few suggestions are included to address the occurrence and assessment of thermal stress in lines. Ultimately, this work may provide complete information to researchers and maintenance engineers to enable them to make better decisions on condition monitoring, operation, and maintenance of the system. INDEX TERMS Overhead transmission line, thermal rating, conductor temperature, thermal stress effect, conditioning monitoring.

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Section: A Monitoring Devicesmentioning

confidence: 99%

Review of Thermal Stress and Condition Monitoring Technologies for Overhead Transmission Lines: Issues and Challenges

et al. 2020

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“…DTLR forecast methods and field applications are discussed in reference [10]. The existing literature on DTLR forecasting [11][12][13][14][15][16] has been primarily focused on indirect methods that employ a heat-balance equation for estimating the line ratings based on predicted weather conditions. The weather data can either be collected using sensors installed on transmission line towers [11][12][13][14] or generated using numerical weather forecast models [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…The existing literature on DTLR forecasting [11][12][13][14][15][16] has been primarily focused on indirect methods that employ a heat-balance equation for estimating the line ratings based on predicted weather conditions. The weather data can either be collected using sensors installed on transmission line towers [11][12][13][14] or generated using numerical weather forecast models [15,16]. These papers [11][12][13][14][15][16] consider a maximum conductor operating temperature to calculate line ampacities.…”

Section: Introductionmentioning

confidence: 99%

“…The weather data can either be collected using sensors installed on transmission line towers [11][12][13][14] or generated using numerical weather forecast models [15,16]. These papers [11][12][13][14][15][16] consider a maximum conductor operating temperature to calculate line ampacities. The main assumption here is that the line ratings are limited by concerns related to conductor annealing and ageing, not line sagging and clearance issues.…”

Section: Introductionmentioning

confidence: 99%

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Forecast of transmission line clearance using quantile regression‐based weather forecasts

Karimi

Dawson

Musílek

et al. 2022

IET Generation Trans & Dist

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This paper uses dynamic thermal line rating methods and a probabilistic prediction methodology to forecast line clearance and conductor temperature and evaluate the risk of clearance encroachment. A transient model is used to predict conductor temperature at different prediction levels. Clearance is estimated using a relationship model, developed based on historical measured clearance and conductor temperature data. Additional sensitivity analysis is performed to determine the applicability of ambient-adjusted predictions when considering a lightly loaded line compared to a heavily loaded line. The developed methodology enables utilities to make decisions on line loading in advance of real-time operation with information on confidence associated with that decision.

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Interval Prediction of Dynamic Line Rating of OHL Based on Improved Affine Arithmetic

Li,

Liu,

et al. 2024

Lecture Notes in Electrical Engineering

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Case study of the increase in capacity of transmission lines in the Chilean system through probabilistic calculation model based on dynamic thermal rating

Cited by 11 publications

References 9 publications

Review of Thermal Stress and Condition Monitoring Technologies for Overhead Transmission Lines: Issues and Challenges

Review of Thermal Stress and Condition Monitoring Technologies for Overhead Transmission Lines: Issues and Challenges

Forecast of transmission line clearance using quantile regression‐based weather forecasts

Interval Prediction of Dynamic Line Rating of OHL Based on Improved Affine Arithmetic

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