科技创新与应用2025，Vol.15Issue(7)：127-132,6.DOI:10.19981/j.CN23-1581/G3.2025.07.031
10 kV配电网架空绝缘线路舞动监测预警
辛忠良 1冯志敏 1付晓勇 1李建树 1王星1
作者信息
- 1. 国网河南省电力公司郑州供电公司,郑州 450007
- 折叠
摘要
Abstract
This paper analyzes the current domestic distribution network galloping situation,summarizes the commonly used galloping mechanisms of overhead lines at home and abroad,and proposes a hierarchical warning and monitoring method for line galloping based on micro-weather prediction and galloping trajectory image characteristics.Under the premise of fully considering the mutual coupling influence of micro-meteorological elements,a micro-meteorological prediction method for overhead lines in distribution networks based on generalized regression neural networks is studied;the principles of particle swarm optimization and vector machines are analyzed,and a support vector machine model based on particle swarm optimization is established.Based on micro-meteorological real-time and forecast data,a hierarchical warning mechanism for overhead lines in distribution networks is established,and early warning calculations are carried out to verify the feasibility of the model.关键词
配电网线路/线路舞动/监测预警/气象预测/神经网络Key words
distribution network lines/line galloping/monitoring and early warning/meteorological prediction/neural network分类
信息技术与安全科学引用本文复制引用
辛忠良,冯志敏,付晓勇,李建树,王星..10 kV配电网架空绝缘线路舞动监测预警[J].科技创新与应用,2025,15(7):127-132,6.
