Prediction on freezing fraction and collision coefficient in ice accretion model of transmission lines using icing mass growth rate

Yang, Lin; Hu, Zhihao; Nian, Lupeng; Hao, Yanpeng; Li, Licheng

doi:10.1049/gtd2.12311

Cited by 5 publications

(2 citation statements)

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“…A thorough dissertation regarding the techniques used to calculate ice accretion is provided in [100]. In this direction, L. Yang et al exhibited successful results in predicting the freezing fraction and collision coefficient parameters of the ice accretion [101]. In [102], the effects of wind and ice loads on transmission towers are presented.…”

Section: Ice Load and Wind Fragility Modelsmentioning

confidence: 99%

“…A discussion regarding the implications of assuming the previous criterion is detailed in Section III. TN-Poles and wires [80] Seismic events (Earthquakes) Towers (TN and DN) [85,87,88] Generators [85,86,89,90] Substations [85,94] Protective devices [92,94,95] Ice storms Lines [99][100][101][102] Flooding Substations, lines and generators [42] Wildfires Lines (Transmission) [2,106] Lightning Lines (Transmission) [113] 2…”

Section: ) Fragility Curves For Transmission Systemsmentioning

confidence: 99%

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A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems

Serrano-Fontova,

Li,

Liao

et al. 2023

IEEE Access

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Over the years, power systems have been severely affected by extreme events. This situation has worsened given that climate change has proven to exacerbate their frequency and magnitude. In this context, resilience assessments have proved crucial to prevent and tackle the effects of these events on power systems. Some resilience studies have taken advantage of the so-called fragility curves (FCs) to evaluate the vulnerability of the system components against these natural hazards. Conceptually, FCs provide the failure probability of a particular grid asset according to the intensity of an extreme event, which can be determined based on the hazard intensity inherently dictated by the nature of the event. The probability of failure can be obtained following diverse methodologies and criteria. Thus, the resilience assessment of the event may vary significantly depending on how the probability of failure was determined. This paper provides, for the first time, a comprehensive review of the FCs used to model the vulnerability of the power system components, classifying them according to the physical magnitude and the system element subject to each type of event. Furthermore, a comparison of results obtained applying different FCs is developed to show the relevance of their modelling. The content of this paper can be used as a hands-on guide for researchers and power systems engineers to perform resilience studies.

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Section: Ice Load and Wind Fragility Modelsmentioning

confidence: 99%