偏最小二乘回归法在介损在线监测误差分析中的应用  

Application of Partial Least-squares Regression to the Error Analysis of On-line Monitoring of Dielectric Loss

作　　者：陈敏维 邱文锋 张孔林 林一泓 

机构地区：[1]国网福建省电力有限公司电力科学研究院,福州350007 [2]福建省高供电可靠性配电技术企业重点实验室,福州350007 [3]福建宁德核电有限公司计划处,宁德355200

出　　处：《电力系统及其自动化学报》2018年第2期138-143,150,共7页Proceedings of the CSU-EPSA

摘　　要：在线监测介质损耗因素(简称介损)是判断电容型设备绝缘状况的重要手段。由于介损在正常时只有千分之几,往往容易受到各种因素的影响而波动,造成测量结果不准确。针对这个问题,分析了介损在线监测的误差因素,采用偏最小二乘回归法对各误差因素进行相关性分析,计算各误差因素与介损的相关系数。通过误差因素与介损之间的关系图,得出影响介损在线监测因素由大至小依次为电压、湿度和温度,与灰关联结果比对,结论一致,验证了该方法的实用性和有效性。On-line monitoring of dielectric loss is an important means for evaluating the capacitive equipment’insula-tion condition. Because the loss value is only a few per thousand relatively under normal conditions,it is often vulnera-ble to fluctuations caused by various factors,resulting in inaccurate measurement. To solve this problem,the error fac-tors in the online monitoring of dielectric loss are analyzd in this paper,and the correlation analysis of error factors isperformed based on partial least-squares regression. Moreover,the correlation coefficients between error factors and di-electric loss are calculated. Through the correlation graph between error factors and dielectric loss,it is found that thefactors affecting the online monitoring can be arranged in a descending order,i.e.,voltage,humidity and temperature.These results are consistent with those by using gray correlation theory,demonstrating its practicality and effectiveness.

关 键 词：在线监测 介质损耗因素 偏最小二乘回归 误差分析 

分 类 号：TM835[电气工程—高电压与绝缘技术]