Aged ACSR conductors. II. Prediction of remaining life

Havard, D.G.; Bissada, M.K.; Fajardo, C.G.; Horrocks, Don; Meale, J.R.; Motlis, J.; Tabatabai, M.; Yoshiki-Gravelsins, K.S.

doi:10.1109/61.127053

Cited by 27 publications

(9 citation statements)

References 5 publications

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“…The solar absorption factor directly influences the capacity of the overhead transmission line. The solar absorption factor has a direct impact on the heat gain rate (Qs), as described in (22). In contrast to conductor emissivity, solar absorption has the opposite impact on capacity.…”

Section: Impact Of Solar Absorption On the Ampacity Of Overhead Trans...mentioning

confidence: 99%

“…Recent research on thermal stress along transmission lines has focused on the causes and effects of thermal stress as well as approaches to improve the reliability and optimize the performance of transmission lines [18,19]. To address the problem of thermal stress along transmission lines, different monitoring techniques have been developed on the basis of extensive studies [20,21] by evaluating thermal aging [22]. The reliability evaluation of transmission lines can be improved by better understanding the degradation mechanisms that cause component aging and failure [23].…”

Section: Introductionmentioning

confidence: 99%

“…Although probabilistic tools are capable of modeling parameter uncertainties, they are somewhat restricted in their application due to the requirement of a specified standard probability distribution for uncertain parameters [27,28]. Instead, the fuzzy set has been determined to be the best for modeling the uncertainty associated with meteorological data [18][19][20][21][22][23][24][25][26][27][28][29]. Additionally, fuzzy reasoning has been effectively employed for the optimal control of transmission line overloading [30], and a fuzzy-based control method for the computation of transmission line ampacity has been presented [31].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Dynamic Thermal Rating System-Based Thermal Aging Model for Transmission Lines

et al. 2022

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Electricity demand has surged over the last several years and will persist in the future. Increased transmission loads cause transmission lines to operate much closer to their security limits, leading to thermal and mechanical stress and thus affecting the transmission reliability and thermal aging. Accordingly, monitoring the conductor temperature over time is critical to identifying power transmission networks that may need extra attention and perhaps maintenance. This paper presents a fuzzy thermal aging model for transmission lines equipped with a fuzzy dynamic thermal rating system based on the IEEE 738 standard. In this framework, the ampacity of the transmission line was calculated. The conductor temperature was computed with the back-calculation method by considering the fully loaded transmission line. The estimated conductor temperature was employed to determine the corresponding conductor fuzzy loss of tensile strength, i.e., the fuzzy annealing degree of the conductor based on the Harvey model. Additionally, a tensile strength loss cost profile is provided. Simulation and numerical results indicate that the proposed framework is robust against various operating conditions of the parameters considered in the study and provides crucial information for managing transmission assets and transmission network operation.

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Section: Impact Of Solar Absorption On the Ampacity Of Overhead Trans...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fuzzy Dynamic Thermal Rating System-Based Thermal Aging Model for Transmission Lines

et al. 2022

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“…Most of the original lines built in Central Iowa, the United States, in the 1940's and 1950's, have 3/0 ACSR, 6/1 conductors [1]. In Ontario, Canada, ACSR gained tremendous popularity in 1950s [2]. Since then, the study of operational behaviors on ACSR has begun its long journey.…”

Section: Introductionmentioning

confidence: 99%

“…Since then, the study of operational behaviors on ACSR has begun its long journey. The concern increases when most of these ACSR conductors have passed their 50-year design life, even though the predicted time for their service is limited to 60-70 years due to local contamination [2].…”

Section: Introductionmentioning

confidence: 99%