Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 5 | |
Section | Modeling, Analysis, and Simulation of Intelligent Manufacturing Processes | |
DOI | https://doi.org/10.1051/matecconf/201817301008 | |
Published online | 19 June 2018 |
The Study on Lightning Disaster Risk Assessment Model of 10kV Overhead Line
1
NARI Group CorporationNanjing 210061, China 86-025-81089152
2
NARI Group CorporationNanjing 210061, China 86-025-81089152
3
NARI Group CorporationNanjing 210061, China 86-025-81089152
a Corresponding author : cwangshuanghu@sgepri.sgcc.com.cn
b Corresponding author : wangyanfeng@sgepri.sgcc.com.cn
c Corresponding author : huadiansongwei@163.com.cn
Taking all kinds of affecting factors into account, the 10kV overhead line of distribution network lighting disaster risk is studied. Historical hidden fault, line equipment, topography, climatic conditions and social impact are selected as key factors of damage and the impact. The correlation among the factors and the weight ratio of each factor were studied. The risk assessment model of 10kV distribution network overhead line was established by multi-factor, hierarchical classification assessment method. It solves the evaluation index insufficient problem of the single factor as the evaluation condition, and provides the theoretical research and practical support to the 10kV overhead line reconstruction and the lightning prevention. The reliability and effectiveness of the research results have been proved by practical application in distribution network operation and maintenance control.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.