Study on the flashover characteristics of ± 500kV DC transmission lines caused by forest fire under reduced-voltage operation

Yue, Yishi; Zou, Yanhui; Huang, Fuyong; Zhengxiong, Gong; Wang, Cheng

doi:10.1049/cp.2017.0567

Cited by 3 publications

(1 citation statement)

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“…Studying the phenomenon is therefore of paramount importance. This occurs because the isolation of overhead power lines is significantly reduced by the presence of gases at high temperatures and particulate matter in suspension, which, when combined, may cause the flashover (Rupture of the dielectric strength of the air (LIU et al, 2019)) of electrical circuits (YI-SHI YUE et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Impact of the specific fire load on the performance of power transmission lines

2023

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Transmission line outages caused by fires are frequent and affect the electric power supply to the population. Studying the factors that may aid in the understanding of this problem is fundamental to improve performance and guide future projects involving this type of installation. This study analyzed the forest inventories of vegetation adjacent to three Brazilian transmission line trunks and calculated their specific fire loads. The results were compared with the performance of these installations and revealed a high correlation (R2=0.9877) between the fire load and the number of transmission line outages, demonstrating the influence of vegetation on the operation of these installations.

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Section: Introductionmentioning

confidence: 99%

Impact of the specific fire load on the performance of power transmission lines

2023

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Method for Power Grid Fault Identification and Cause Analysis Considering Environmental Information

Wang

Shan

et al. 2020

2020 4th International Conference on Smart Grid and Smart Cities (ICSGSC)

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Failure and fault classification for smart grids

2022

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Smart grid (SG) has been designed as a response to the limitations of traditional power grids caused by growing power supply demands. SG is considered a critical infrastructure in which dependability plays a crucial role and manifestation of failures can lead to severe consequences. Architecture-wise, SGs can be decomposed in several layers comprising variety of physical, software, communication and business components, each representing a potential point of failure determined by their underlying faults. In this paper, we present a systematic literature review surveying 30 different faults and failures which can occur in the SG infrastructure. The discovered faults and failures are investigated to extract details about their causes, impacts, detection techniques and counter-measures. Based on the collected information, the faults and failures are classified and mapped to Smart Grid Reference Architecture Model (SGAM), providing a useful frame of reference for practitioners and researchers dealing with hardware and software dependability in this complex domain.

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Study on the flashover characteristics of ± 500kV DC transmission lines caused by forest fire under reduced-voltage operation

Cited by 3 publications

References 0 publications

Impact of the specific fire load on the performance of power transmission lines

Impact of the specific fire load on the performance of power transmission lines

Method for Power Grid Fault Identification and Cause Analysis Considering Environmental Information

Failure and fault classification for smart grids

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