中国电机工程学报2012，Vol.32Issue(34)：120-128,前插17,10.
基于聚类趋势分析与逐步回归的电铁牵引负载负序源模型研究
Study on Negative Sequence Source Model of Electrified Railway Traction Load Based on Clustering Tendency Analysis and Stepwise Regression
摘要
Abstract
To establish the electrical railway traction load negative sequence source model suitable for negative sequence characteristics analysis and power flow calculation is extremely important. Negative sequence source modeling could be regarded as a load modeling problem, and a modeling method based on the classification and synthesis of negative sequence characteristics was proposed. The clustering tendency analysis was conducted on the sample set, with the measured response space of fundamental negative sequence current and the actual running state of locomotive as eigenvectors. On the premise of clustering possibility, the clustering validity function was used, aiming at obtaining the optimal classification result of the sample set. By means of mechanism analysis for the negative sequence characteristics of traction load, the model structure was determined, while the optimal model expression was achieved applying the method of stepwise multiple regression. Besides, the newly added sample was classified into the class within the minimum Euclidean distance from the clustering center, and the related model was tested. Case study shows that the negative sequence source model built is reasonable and effective.关键词
负荷建模/牵引负载/负序特性/分类与综合/聚类趋势/逐步回归Key words
load modeling/ traction load/ negative sequence characteristics/ classification and synthesis/ clustering tendency/ stepwise regression分类
信息技术与安全科学引用本文复制引用
孙谦,姚建刚,李欣然,孔强,胡锦泓,康童,徐振超..基于聚类趋势分析与逐步回归的电铁牵引负载负序源模型研究[J].中国电机工程学报,2012,32(34):120-128,前插17,10.基金项目
国家重点产业振兴和技术改造项目(国发改投资[2010]2272) （国发改投资[2010]2272）
高等学校博士学科点专项科研基金资助项目(20070532052). （20070532052）
