摘要
为了降低低压电缆分接供电不可靠带来的影响,提出低压电缆分接供电可靠性研究。首先通过学习低压电缆的内部构造以及工作原理构建其工作模型;之后通过机器学习法中的统计法提出低压电缆分接供电可靠性研究的各类评价指标及参考指标;最后利用灰色关联分析的方法对各类指标实施分析,以此达到低压电缆分接供电可靠性研究的目的。研究表明所提方法具有较小的累积误差、失效概率以及较高的评估效率,其最终评估效果优于目前存在的供电可靠性研究评估。
In order to reduce the impact of unreliable low-voltage cable tapping power supply,a study on the reliability of low-voltage cable tapping power supply is proposed.This method first constructs its working model by learning the internal structure and working principle of low-voltage cables.Afterwards,various evaluation indicators and reference indicators for the reliability research of low-voltage cable tapping power supply are proposed through statistical methods in machine learning;Finally,the grey correlation analysis method is used to analyze various indicators,in order to achieve the purpose of researching the reliability of low-voltage cable tap power supply.Research shows that the proposed method has small cumulative error,failure probability,and high evaluation efficiency,and its final evaluation effect is superior to the existing power supply reliability research evaluation.
作者
戚振彪
王震
何海平
刘赟
张玉祥
QI Zhen-biao;WANG Zhen;HE Hai-ping;LIU Yun;ZHANG Yu-xiang(State Grid Anhui Electric Power Co.,Ltd.,Hefei 230022 China;State Grid Heze Power Supply Company,Heze 274000 China;State Grid Chuzhou Power Supply Company,Chuzhou 239000 China;State Grid Chizhou Power Supply Company,Chizhou 233000 China;State Grid Huaibei Power Supply Company,Huaibei 235000 China)
出处
《自动化技术与应用》
2024年第11期165-168,共4页
Techniques of Automation and Applications
基金
国网安徽省电科院2022年供电可靠性管控体系深化完善项目(2200193)。
关键词
低压电缆
分接供电
模型
灰色关联度
机器学习
low voltage cables
tapping power supply
model
Grey Correlation Degree
machine learning