Citation: | HAO Wenbin, LI Qunzhan, HUANG Yongrong, HAN Zhengqing. New Algorithm for Inrush Current Identification of Transformer Based on Support Vector Machine[J]. Journal of Southwest Jiaotong University, 2007, 20(4): 490-493. |
李贵存.变压器仿真与保护新算法的研究[D].北京:华北电力大学,2001.[2] 王维俭.电气主设备继电保护原理与应用[M].北京:中国电力出版社,2002.[3] 何奔腾,徐习东.波形比较法变压器差动保护原理[J].中国电机工程学报,1998,18(6):395-398.HE Benteng,XU Xidong.Protection based on wave comparison[J].Proceedings of the CSEE,1998,18 (6):395-398.[4] 焦劭华,刘万顺.区分变压器励磁涌流和内部短路的积分型波形对称原理[J].中国电机工程学报,1999,19(8):1-5.JIAO Shaohua,LIU Wanshun.A novel scheme to discriminate inrush current and fault current based on integrating the waveform[J].Proceedings of the CSEE,1999,19(8):1-5.[5] 李贵存,刘万顺,刘建飞,等.用波形拟合法识别变压器励磁涌流和短路电流的新原理[J].电力系统自动化,2001,25(14):15-18.LI Guicun,LIU Wanshun,LIU Jianfei,et al.New principle of discrimination between inrush current and fault current of the transformer based on forecasted waveform[J].Automation of Electric Power Systems,2001,25(14):15-18.[6] 韩正庆,高仕斌,李群湛.基于半波傅里叶算法的励磁涌流识别方法[J].电力系统自动化,2005,29(14):60-63.HAN Zhengqing,GAO Shibin,LI Qunzhan.New method to identify inrush current based on half-wave fourier analysis[J].Automation of Electric Power Systems,2005,29(14):60-63.[7] 潘荣贞,郁惟镛,田寿龙.基于波形记忆和模糊极小-极大神经网络的变压器励磁涌流和内部短路的鉴别[J].电网技术,2002,26(5):4-9.PAN Rongzhen,YU Weiyong,HAN Shoulong.Distinguish transformer magnetizing inrush from its internal faults based on wave shape remembrance and fuzzy minimum-maximum neural network[J].Power System Technology,2002,26(5):4-9.[8] 段玉倩,贺家李,贺继红.基于人工神经网络方法的微机变压器保护[J].中国电机工程学报,1998,3(18):190-194.DUAN Yuqian,HE Jiali,HE Jihong.Computerized transformer protection based on artificial neural network[J].Proceedings of the CSEE,1998,b3(18):190-194.[9] 李贵存,刘万顺,贾清泉,等.一种利用小波原理防止变压器差动保护误动的新算法[J].电网技术,2001,25(7):48-52.LI Guicun,LIU Wanshun,JIA Qingquan,et al.A new algorithm toprevent misoperation of transformer differential protection based on principle of wavelet transform[J].Power System Technology,2001,25(7):48-52.[10] 李海锋,王钢,李晓华,等.电力变压器励磁涌流判别的自适应小波神经网络方法[J].中国电机工程学报,2005,25(7):144-150.LI Haifeng,WANG Gang,LI Xiaohua,et al.Distinguish between inrush and internal fault of transformer based on adaptive wavlet neural network[J].Proceeding of the CSEE,2005,25(12):144-150.[11] 王增平,徐岩,王雪,等.基于变压器模型的新型变压器保护原理的研究[J].中国电机工程学报,2003,23(12):54-58.WANG Zengping,XU Yan,WANG Xue,et al.Study on the novel transformer protection principle based on the transformer model[J].Proceeding of the CSEE,2003,23 (12):54-58.[12] 郑涛,刘万顺,肖仕武,等.一种基于数学形态学提取电流波形特征的变压器保护新原理[J].中国电机工程学报,2004,24(7):18-24.ZHENG Tao,LIU Wanshun,XIAO Shiwu,et al.new algorithm based on the mathematical morphology for power transformer protection[J].Proceeding of the CSEE 2004,24(7):18-24.[13] VAPNIK V N.The nature of statistical learning theory[M].2nd edition.NewYork:Springer-Verlag,1999.[14] SALAT R,OSOWSKI S.Accurate fault location in the power transmission line using support vector machine approach[J].Transactions on power system,2004,19(2):
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