E3S Web Conf.
Volume 236, 20213rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)
|Number of page(s)||4|
|Section||Development, Utilization and Protection of Traditional Energy Resources|
|Published online||09 February 2021|
The Risk Quantification Evaluation Strategy for the Distribution Line based on EMLR
1 State Grid Chongqing Electric Power Company Tongliang Power Supply Branch Tongliang District Chongqing, China
2 Chongqing University of Posts and Telecommunications, Nanan District, Chongqing, China
* Corresponding author:email@example.com
The electric power distribution grid directly serves the ordinary users, the stability and reliability of which are crucial to production and life. The traditional operation and maintenance of the distribution grid is based on experience and cannot scientifically predict the state of line faults. In this paper, stepwise regression is used to screen out 8 key influencing factors of line faults, and principal component analysis is performed to find the risk value of each line; so that establishes multiple linear and exponential regression equations for the line risk value. According to the existing data, the risk of the line is predicted, and the GABP neural network model is built so as to accurately predict the risk value of the line.
© 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.
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.