| Issue |
E3S Web Conf.
Volume 260, 2021
2021 International Conference on Advanced Energy, Power and Electrical Engineering (AEPEE2021)
|
|
|---|---|---|
| Article Number | 02011 | |
| Number of page(s) | 7 | |
| Section | Power Electronics Technology and Application | |
| DOI | https://doi.org/10.1051/e3sconf/202126002011 | |
| Published online | 19 May 2021 | |
Analysis of large-scale transmission line icing and galloping event in the Jilin province during November 2020
1 College of electrical and information engineering, Hunan University, 410012, Changsha, China
2 State Grid Hunan Electric Power Corporation Limited, 410129, Changsha, China
* Corresponding author: bearxxj@126.com
A large-scale transmission line icing and galloping event occurred in Jilin province during November 2020. First of all, the circulation background and the evolution characteristics of key meteorological factors of the icing and galloping event are analysed, which provide basis for the prediction and early warning of the galloping event in the future. It is found that, the warm and wet air transported northward to the central part of Northeast China due to the abnormal northward position of the western pacific subtropical high, combined with the strong cold air activity in the north, the cold and warm air converged in the middle of Northeast China, resulting in the co-occurrence of temperature decline, precipitation, gale and high humidity, which is the direct cause of this large-scale galloping event. Then, the prediction and actual situation of the disaster event are analysed. The results show that the power gird icing and galloping numerical prediction system accurately predicted the influence area and disaster intensity three days in advance, which can provide effective support for future disaster response. Finally, some relevant suggestions are put forward according to the characteristics of this disaster.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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