基于BP神经网络算法的小电流接地选线研究
Research on Low Current Grounding Line Selection Based on BP Neural Network Algorithm
孙冰 1李长星1
作者信息
- 1. 西安石油大学,陕西 西安 710065
- 折叠
摘要
现有的传统方法对小电流接地系统单相接地故障的选线正确率较低,为了解决这一问题,首先对小电流接地系统发生单相接地故障时的零序信号进行分析,然后选取 3 种传统选线方法,分析其选线原理并进行选线仿真,最后建立基于BP神经网络的综合选线算法,将 3 种传统方法进行融合,使其具有更强的针对性和适用性,从而提高选线的准确率.
Abstract
In order to solve this problem,the zero sequence signal of the single-phase grounding fault in the low-current grounding system is analyzed.Then select three traditional route selection methods,analyze the principle of route selection and carry out the simulation of route selection.Finally,a comprehensive route selection algorithm based on BP neural network is established,and the three traditional methods are integrated to make it more targeted and applicable,so as to improve the accuracy of route selection.
关键词
小电流接地系统/单相接地/BP神经网络Key words
low current grounding system/single-phase grounding/BP neural network引用本文复制引用
出版年
2024
NETL
NSTL
万方数据