首页|基于主成分分析算法的线路应力波除冰器部署位置评价研究

基于主成分分析算法的线路应力波除冰器部署位置评价研究

Study on Evaluation of Deployment Positions of Stress Wave Defrosters Based on Principal Component Analysis Algorithm

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利用微地形因子、气象条件及同期覆冰观测资料等9个评价指标,采用主成分分析算法对30个典型的输电线路微地形小区域样本进行计算,并依据方差贡献率建立应力波除冰器部署位置综合评价模型.提取模型中累计方差贡献率大于90%的前4个主成分计算得到了满足正态分布特征的样本综合得分,并给出了应力波发生器在30个待安装区域的优先级.
The present work used 9 evaluation indicators,including microtopography factors,meteorological conditions,ice cover observation data during the same period,etc.,and employed principal component analysis algorithm to calculate 30 typical cases of transmission line small micro-terrain areas,and to establish a comprehensive evaluation model for de-ployment positions of stress wave defrosters according to the variance contribution rate.Comprehensive scores of the cases with normal distribution were calculated by selecting the first four principal components whose cumulative variance contri-bution rate was greater than 90%.Furthermore,the priority of the stress wave generator in the 30 areas to be installed was given.

icingprincipal componentindicatorevaluation

杨流智、丁琦、陈飞、严剑锋、向开锐

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中国南方电网超高压输电公司梧州局,广西 梧州 543000

覆冰 主成分 指标 评价

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(13)