A Single-Phase Line-Break Fault Detection Method for Active Distribution Networks Based on Improved Support Vector Machine

您当前的位置：

首页 >

文章列表页 >

A Single-Phase Line-Break Fault Detection Method for Active Distribution Networks Based on Improved Support Vector Machine

New Power System | 更新时间：2026-06-03

上一篇|下一篇

- A Single-Phase Line-Break Fault Detection Method for Active Distribution Networks Based on Improved Support Vector Machine
- A Single-Phase Line-Break Fault Detection Method for Active Distribution Networks Based on Improved Support Vector Machine
- WU Yuxuan ，OUYANG Sen ，YANG Xiangyu ，CHEN Handong ，LI Renwei ，LIAO Jian
- 发电技术（英文版） 2026年47卷第1期页码：185-194
- 作者机构：
  School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, Guangdong Province, China
- 作者简介：
  WU Yuxuan (2001), male, Master's Candidate. Research interests focus on line-break detection and location in distribution networks. Email: 724174828@qq.com
  YANG Xiangyu (1963), male, Ph.D., Professor. Research interests focus on electric drive systems and intelligent control. Email: yangxyu@scut.edu.cn
- 基金信息：
  National Natural Science Foundation of China(52177085)
- DOI： 10.12096/j.2096-4528.pgt.260117
  中图分类号：
- 修回：2025-07-28 ，
- 稿件说明：
移动端阅览
DOI：
DOI：

HTML全文
参考文献
出版信息
数据统计

摘要

Abstract

关键词

Keywords

references

8

浏览量

5

下载量

0

CSCD

文章被引用时，请邮件提醒。

提交

工具集

BibTeX下载
Endnote下载
RefMan 下载
NoteExpress下载
NoteFirst下载

关联资源

相关文章

Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting

Climate-Adaptive Power Systems Empowered by Large Language Models: Challenges and Perspectives

Study on Fluidization Characteristics of Pulse-Type Hood in Circulating Fluidized Bed Boilers

Numerical Simulation and Temperature Control Performance of Lithium Battery Thermal Management System Based on Composite Phase Change Material

Research on Short-Term Photovoltaic Power Prediction Method Based on an Improved Rime Optimization Algorithm

相关作者

CHU Yundi

DING Zekai

LIN Zhengyu

LÜ Zhan

HOU Shixi

SHI Pengfei

相关机构

College of Artificial Intelligence and Automation, Hohai University

State Grid Jiangsu Nanjing Electric Power Supply Company