摘要
近红外光谱分析技术在电力变压器油纸绝缘老化状态的现场快速、无损诊断方面具有巨大的应用潜力。目前,评估建模与现场应用尚处于起步探索阶段。为研究基于近红外光谱的绝缘纸聚合度(degree of polymerization,DP)定量评估模型,制备得到不同老化状态的油纸绝缘样品,检测近红外光谱、DP等数据,利用Savitzky-Golay卷积法对光谱进行预处理,结合偏最小二乘法建立聚合度定量评估基础模型。研究引入XY变量联合的异常样本检测算法和竞争性自适应重加权取样法(competitive adaptive reweighted sampling,CARS),得到不同组合方式下的优化模型。各模型的预测精度评估结果显示:依据XY变量联合+CARS算法建立的绝缘纸聚合度定量评估模型,使用更少的光谱数据,达到了更优的预测精度,可实现绝缘老化状态的自适应预测。建立的评估模型在5台主变的绝缘纸样现场检测及老化评估中初见成效。
Near infrared spectroscopy(NIRS),as a fast and nondestructively analytic technique,is a promising tool in on-site aging condition assessment of oil-paper insulated transformers.However,some key steps such as the assessment modeling and filed applications are still in the lab-exploring stages.This paper presented the quantitative evaluation models based on NIRS to predict the degree of polymerization(DP)of insulating paper,which is directly indicating the ageing condition.The NIRS coupled with DP measurements were performed on Kraft papers with varying ageing conditions by thermally accelerating ageing method.The basic quantitative evaluation model has been proposed by partial least squares(PLS)coupled with Savitzky-Golay(S-G)convolution method.Further,three modified evaluation models by combining the outlier sample eliminating algorithm based on joint XY distances with the competitive adaptive reweighted sampling(CARS)were introduced to optimize the models.The assessments of predictive results suggest that the quantitative evaluation model established by XY eliminating algorithm coupled with CARS could self-adaptively predict the ageing condition of oil-immersed paper,with less spectral data but achieving higher accuracy.The results of field test and assessment on five power transformers show that the established model has good performance in predicting the aging state of oil-immersed paper.
作者
李元
张崟
唐峰
徐尧宇
张文博
张冠军
LI Yuan;ZHANG Yin;TANG Feng;XU Yaoyu;ZHANG Wenbo;ZHANG Guanjun(State Key Laboratory of Electrical Insulation and Power Equipment(Xi’an Jiaotong University),Xi’an 710049,Shaanxi Province,China;Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen 518000,Guangdong Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2019年第S01期287-296,共10页
Proceedings of the CSEE
基金
国家自然科学基金项目(51607139)
强脉冲辐射环境模拟与效应国家重点实验室资助项目(SKLIPR1611).
关键词
油纸绝缘
近红外光谱
聚合度
偏最小二乘法
定量评估
oil-immersed paper
near infrared spectroscopy
degree of polymerization
partial least squares
quantitative evaluation
作者简介
李元(1984),男,博士,主要从事高电压试验技术、绝缘诊断评估方面的研究工作,liyuan8490@xjtu.edu.cn;张崟(1994),男,研究生,主要从事近红外光谱在油纸绝缘诊断评估方面的研究工作,yinzhang@stu.xjtu.edu.cn。
