王子凌,吴栋萁,马振宇,柴卫健,童力,安斯光
WANG Ziling,WU Dongqi,MA Zhenyu,CHAI Weijian,TONG Li,AN Siguang

• 1:国网浙江省电力有限公司电力科学研究院
• 2:国网浙江省电力有限公司
• 3:中国计量大学机电工程学院

摘要(Abstract)：

近年来，某地区发生多起磁控开关误分闸故障，对电网供电可靠性造成较大影响。为准确评估磁控开关运行状态，保障电网安全、稳定运行，提出一种基于异常数据分类的磁控开关状态评估模型。首先，通过对磁控开关异常数据进行重要度分类和量化处理，构建异常类型矩阵；其次，采用层次分析法确定异常类型矩阵的权重参数；最后，运用异常类型矩阵和权重参数建立磁控开关状态评估模型，基于风险指数划分磁控开关风险等级。对某区域在运的135台磁控开关进行状态评估，结果显示，提出的评估模型和风险指数划分方法能够准确反映磁控开关的运行状态，直观提示磁控开关的风险等级，可为磁控开关运维策略制定提供科学依据。
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 assessment 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(KeyWords)： 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
magnetically controlled switch;status assessment;AHP;anomaly type matrix;risk index;risk level classification

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目（B311DS230008）

作者(Author): 王子凌,吴栋萁,马振宇,柴卫健,童力,安斯光
WANG Ziling,WU Dongqi,MA Zhenyu,CHAI Weijian,TONG Li,AN Siguang

DOI: 10.19585/j.zjdl.202505004

参考文献(References)：

• [1]王静，徐松，李松，等.磁控开关的研究与应用[J].日用电器，2024(1):29-34.WANG Jing,XU Song,LI Song,et al.Research and application of magnetic switch[J].Electrical Appliances,2024(1):29-34.
• [2]林静波，吴蔚，王龙彪，等.基于动态阻抗模型的磁控式持续电流开关[J].低温物理学报，2019,41(4):272-277.LIN Jingbo,WU Wei,WANG Longbiao,et al.Magneticcontrolled persistent current switch based on the model of dynamic resistance[J]. Low Temperature Physical Letters,2019,41(4):272-277.
• [3]李凤琴，李鹏.NE555家庭防盗报警系统的应用[J].电子制作，2020(18):51-52.LI Fengqin,LI Peng.Application of NE555 family burglar alarm system[J].Practical Electronics,2020(18):51-52.
• [4]李敏，王军委，王峰.一种装有磁控开关的充气柜研究[J].电工技术，2022(5):152-153.LI Min,WANG Junwei,WANG Feng.Research on an inflatable cabinet with magnetic control switch[J]. Electric Engineering,2022(5):152-153.
• [5]丁伟，乐文静，罗拥军，等.基于模糊层次法的配电变压器抽检实验室能效评估研究[J].高压电器，2023,59(5):216-220.DING Wei,LE Wenjing,LUO Yongjun,et al. Research on energy efficiency assessment of sampling inspection test laboratory for distribution transformer based on fuzzy analytic hierarchy process[J]. High Voltage Apparatus,2023,59(5):216-220.
• [6]石宜金，谭贵生，赵波，等.基于模糊综合评估模型与信息融合的电力变压器状态评估方法[J].电力系统保护与控制，2022,50(21):167-176.SHI Yijin,TAN Guisheng,ZHAO Bo,et al.Condition assessment method for power transformers based on fuzzy comprehensive evaluation and information fusion[J].Power System Protection and Control,2022,50(21):167-176.
• [7]王东芳，黄国权，黄廷城，等.一二次融合柱上开关组合加权模糊状态评价[J].浙江电力，2020,39(2):48-54.WANG Dongfang,HUANG Guoquan,HUANG Tingcheng,et al. Composite weighing fuzzy state assessment on the primary and secondary fusion pole-mounted switch[J].Zhejiang Electric Power,2020,39(2):48-54.
• [8]周秀，怡恺，李刚，等.基于邻域粗糙集与AMPOS-ELM的变压器DGA故障诊断[J].电力科学与技术学报，2022,37(3):157-164.ZHOU Xiu,YI Kai,LI Gang,et al. Atransformer DGA fault diagnosis approachbased on neighborhood rough set and AMPSO-ELM[J].Journal of Electric Power Science and Technology,2022,37(3):157-164.
• [9]彭道刚，陈跃伟，范俊辉，等.基于层次分析法和粗糙集的变压器状态评估研究[J].高压电器，2019,55(7):150-157.PENG Daogang,CHEN Yuewei,FAN Junhui,et al.Research on assessment of transformer state using analytic hierarchy process and rough set theory[J].High Voltage Apparatus,2019,55(7):150-157.
• [10]章亮，杨俊杰.基于多维正态云模型的电力变压器状态评估[J].电测与仪表，2020,57(4):129-135.ZHANG Liang,YANG Junjie.State assessment of power transformers based on multi-dimensional normal cloud model[J]. Electrical Measurement&Instrumentation,2020,57(4):129-135.
• [11]刘云鹏，许自强，李刚，等.人工智能驱动的数据分析技术在电力变压器状态检修中的应用综述[J].高电压技术，2019,45(2):337-348.LIU Yunpeng,XU Ziqiang,LI Gang,et al.Review on applications of artificial intelligence driven data analysis technology in condition based maintenance of power transformers[J].High Voltage Engineering,2019,45(2):337-348.
• [12]龙玉江，姜超颖，钟掖，等.极端气象条件下基于深度学习网络特征的变压器故障预测[J].现代电子技术，2024,47(4):91-96.LONG Yujiang,JIANG Chaoying,ZHONG Ye,et al.Transformer fault prediction based on deep learning network characteristics under extreme weather conditions[J].Modern Electronics Technique,2024,47(4):91-96.
• [13]祁炜雯，张俊，吴洋，等.基于改进BP-Bagging算法的光伏电站故障诊断方法[J].浙江电力，2024,43(3):65-74.QI Weiwen,ZHANG Jun,WU Yang,et al.A fault diagnosis method for photovoltaic power plants based on an enhanced BP-Bagging algorithm[J].Zhejiang Electric Power,2024,43(3):65-74.
• [14] HONG K X,WANG L,XU S.A variational mode decomposition approach for degradation assessment of power transformer windings[J]. IEEE Transactions on Instrumentation and Measurement,2019,68(4):1221-1229.
• [15]刘云飞，周启文，方太勋.基于贝叶斯估计的故障电流过零点预测[J].浙江电力，2022,41(8):73-79.LIU Yunfei,ZHOU Qiwen,FANG Taixun.Prediction of zero crossing point of fault current based on Bayesian estimation[J].Zhejiang Electric Power,2022,41(8):73-79.
• [16]霍浩，马天龙，李宁瑞，等.基于贝叶斯与深度学习结合的变压器故障诊断[J].电力系统及其自动化学报，2023,35(9):137-144.HUO Hao,MA Tianlong,LI Ningrui,et al.Transformer fault diagnosis based on Bayesian method and deep learning[J]. Proceedings of the CSU-EPSA,2023,35(9):137-144.
• [17]李蔚，吴懿范，毛静宇，等.基于改进随机森林算法的汽轮机振动故障诊断研究[J].浙江电力，2024,43(9):107-116.LI Wei,WU Yifan,MAO Jingning,et al.Research on diagnosis for vibration faults in steam turbines using IRF algorithm[J].Zhejiang Electric Power,2024,43(9):107-116.
• [18]韩志骏，隋灿，刘朝章，等.基于改进组合权重的电网救援优先级确定方法[J].山东电力技术，2024,51(6):77-84.HAN Zhijun,SUI Can,LIU Chaozhang,et al.A method for determining the priority of power grid rescue priority based on improved combination weight[J].Shandong Electric Power,2024,51(6):77-84.
• [19]李博，吐松江·卡日，张紫薇，等.基于变权—靶心贴近度的换流变压器状态评估方法[J].高压电器，2024,60(6):114-120.LI Bo,TUSONGJIANG Kari,ZHANG Ziwei,et al.Condition assessment method of convert transformer based on bullseye proximity degree[J]. High Voltage Apparatus,2024,60(6):114-120.
• [20]周秀，吴旭涛，田天，等.基于机-热-电多参量信号特征的GIS隔离开关状态评估方法[J].电力工程技术，2024,43(1):220-228.ZHOU Xiu,WU Xutao,TIAN Tian,et al.Condition assessment method of GIS disconnector based on vibrationthermal-electrical multi-parameter signal characteristics[J].Electric Power Engineering Technology,2024,43(1):220-228.
• [21]李波，张文乾，刘维，等.基于熵权层次法的油浸式变压器绝缘状态评价[J].电力工程技术，2023,42(4):223-230.LI Bo,ZHANG Wenqian,LIU Wei,et al.Insulation condition evaluation of oil-immersed transformer based on entropy weight hierarchy method[J]. Electric Power Engineering Technology,2023,42(4):223-230.
• [22]丁伟，乐文静，罗拥军，等.基于模糊层次法的配电变压器抽检实验室能效评估研究[J].高压电器，2023,59(5):216-220.DING Wei,LE Wenjing,LUO Yongjun,et al. Research on energy efficiency assessment of sampling inspection test laboratory for distribution transformer based on fuzzy analytic hierarchy process[J]. High Voltage Apparatus,2023,59(5):216-220.