浙江电力2025，Vol.44Issue(5)：34-41,8.DOI:10.19585/j.zjdl.202505004
基于异常数据分类的磁控开关状态评估模型研究
Research on a status assessment model for magnetically controlled switches based on abnormal data classification
摘要
Abstract
In recent years,several improper closing incidents of magnetically controlled switches have occurred in a certain region,significantly affecting the supply reliability of the power grids.To accurately assess the operational status of magnetically controlled switches and ensure the safe and stable operation of the power grid,a status assess-ment model based on abnormal data classification is proposed.First,abnormal data of the magnetically controlled switches is classified and quantified to construct anomaly type matrices.Next,the weight parameters of anomaly type matrices are determined by the analytic hierarchy process(AHP).Finally,the state assessment model of the magnetically controlled switches is built using the anomaly type matrices and weight parameters,and the risk level of the switches is classified based on a risk index.The status of 135 magnetically controlled switches in operation in a certain area is evaluated,and the results show that the proposed assessment model and risk index classification method can accurately reflect the operational status of the switches,providing an intuitive indication of their risk level and offering scientific support for the development of maintenance strategies.关键词
磁控开关/状态评估/层次分析法/异常类型矩阵/风险指数/风险等级划分Key words
magnetically controlled switch/status assessment/AHP/anomaly type matrix/risk index/risk level classification引用本文复制引用
王子凌,吴栋萁,马振宇,柴卫健,童力,安斯光..基于异常数据分类的磁控开关状态评估模型研究[J].浙江电力,2025,44(5):34-41,8.基金项目
国网浙江省电力有限公司科技项目(B311DS230008) （B311DS230008）
