High-temperature sag model for overhead conductors

Chen, Shelley L.; Black, W. Z.; Fancher, M.L.

doi:10.1109/tpwrd.2002.801427

Cited by 20 publications

(7 citation statements)

References 6 publications

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“…5 and 6 in [9] and Fig. 6 in [10] exhibits an approximate linear relationship. It is therefore reasonable to assume in our simulations that the sag is proportional to the conductor temperature.…”

Section: Effects Of Vegetation On Cascading Failuresmentioning

confidence: 83%

“…The combination of heavy-loaded transmission lines and overgrown trees may increase the risk of tree contact failure. Although some researchers have developed models of sagtension of overhead transmission lines through conductor thermal strains and physical characteristics, ambient temperature, creep time and so on [9], [10], [11], there is still a need of a simple but realistic model of this phenomenon for cascading failure simulations.…”

Section: Introductionmentioning

confidence: 99%

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Risk-based composite power system vulnerability evaluation to cascading failures using importance sampling

Chen

Mili

2011

2011 IEEE Power and Energy Society General Meeting

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Large-scale blackouts typically result from cascading failure in power systems operation. Their mitigation in power system planning calls for the development of methods and algorithms that assess the risk of cascading failures due to relay overtripping, short-circuits induced by overgrown vegetation, voltage sags, line and transformer overloading, transient instabilities, voltage collapse, to cite a few. This paper describes such a method based on composite power system reliability evaluation via sequential Monte Carlo simulation. One of the impediments of the study of these phenomena is the prohibitively large computational burden involved by the simulations. To overcome this difficulty, importance sampling technique utilizing the Weibull distribution is applied. It is shown that the method significantly reduce the number of samples that need to be investigated while maintaining the accuracy at a given level. To illustrate the developed approach, a case study is conducted and analyzed on the IEEE reliability test system.

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Section: Effects Of Vegetation On Cascading Failuresmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Risk-based composite power system vulnerability evaluation to cascading failures using importance sampling

Chen

Mili

2011

2011 IEEE Power and Energy Society General Meeting

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“…References [6], [89] present a method to determine the tension-temperature curve in operating lines by monitoring basic line parameters, such as ambient an conductor temperature, wind speed and mechanical load. In [90] a computer sag-tension program is presented, which is based on measured conductor current and weather conditions. In [25] a method to calculate tensions and sags on a tension section with different level or non-level spans of equal or different lengths at any temperature is presented, which allows dealing with conductor temperature changes along the tension section.…”

Section: A Sag-tension Calculation Methodsmentioning

confidence: 99%

Uprating of transmission lines by means of HTLS conductors for a sustainable growth: Challenges, opportunities, and research needs

Riba

Bogarra

Gómez-Pau

et al. 2020

Renewable and Sustainable Energy Reviews

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“…Harmonic frequencies have impacts on the line transposition, as illustrated in Arrillaga et al [19]. Temperature variations cause changes in conductor resistance; in particular, the series resistance depending on temperature results in line sag on hot days [20,21]. Furthermore, complicated measurement environments lead to significant time delay, which can result in the failure of measurement data to correct for fast parameter changes.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Tolerant State Estimation under Model Uncertainty in Power Systems

2021

Energies

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In this paper an adaptive tolerant estimator using singular value decomposition is proposed for a distribution network under model uncertainty in power systems. The adaptive tolerant estimator was designed with adjusted parameters and adjusted weights to overcome the limitations of model uncertainty. The estimator that reduces the measurement errors is adaptive to fast parameter changes in complicated environments. The singular value decomposition method was combined into the state estimator, which extended the over-determined cases to under-determined cases under model uncertainty. The performance of the tolerant estimator was compared with the conventional adaptive estimator, and the tolerant estimator showed accurate estimations against model uncertainty in complicated measurement environments.

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High-temperature sag model for overhead conductors

Cited by 20 publications

References 6 publications

Risk-based composite power system vulnerability evaluation to cascading failures using importance sampling

Risk-based composite power system vulnerability evaluation to cascading failures using importance sampling

Uprating of transmission lines by means of HTLS conductors for a sustainable growth: Challenges, opportunities, and research needs

Adaptive Tolerant State Estimation under Model Uncertainty in Power Systems

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