摘要
回复电压法(RVM)是一种研究电力变压器绝缘老化状态的检测方法,基于大量回复电压测试数据,提出运用模糊粗糙集理论评估变压器油纸绝缘状态,并构建变压器油纸绝缘状态评估系统。首先,基于回复电压特征量建立变压器油纸绝缘状态评估指标;其次,采用模糊C均值聚类算法获得变压器测试数据对于特征量模糊划分的隶属度函数;然后,根据可辨识矩阵对油纸绝缘状态评估表的模糊属性进行约简,并提取油纸绝缘状态评估规则;最后,在历史数据库的基础上构建油纸绝缘状态评估系统。通过实例演绎论证提出的评估系统能有效、准确地评估电力变压器绝缘状态,为变压器油纸绝缘状态评估提供了新思路,且在工程应用中具有实际价值。
Recovery voltage method（ RVM） is to study insulation aging status of power transformer. Based on a lot of test data of recovery voltage,the fuzzy rough set theory is proposed and used to assess the oil paper insulation status of transformer. And the assessment system of oil paper insulation of transformer is constructed. Firstly,the evaluation index of oil-paper insulation status of transformer is identified based on recovery voltage feature parameters. Secondly,the membership function of fuzzy partitioning feature parameters for transformer test data is obtained by using FCM clustering algorithm. Then,the fuzzy attributes are reduced for the assessment table of oil paper insulation statue in accordance with the discernibility matrix,and the assessment rules of oil-paper insulation status are extracted. Finally,the assessment system of oil-paper insulation status is built based on the historical database. The experiments demonstrate that the assessment system is effective and feasible which provides a new solution for the assessment of transformer oil-paper insulation status. This work is of practical value in actual engineering applications.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2017年第1期190-197,共8页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(61174117)项目资助
关键词
回复电压
模糊粗糙集
绝缘评估
油纸绝缘
模糊C均值聚类
recovery voltage
fuzzy rough set
insulation evaluation
oil-paper insulation
fuzzy C means clustering
