A Transmission Line Fault Classification Approach by Support Vector Machines
A Transmission Line Fault Classification Approach by Support Vector Machines
摘要
This paper presents an approach for shunt faults detection and classification in transmission line using Support Vector Machine （SVM）. The paper compares between using three line post-fault current samples for one-half cycle and one-fourth cycle from the inception of the fault as inputs for SVM. Two SVMs are used, first SVMabc is used for faulty phase detection and second SVMg is used for ground detection. SVMs with polynomial kernel with different degrees are used to obtain the best classification score. The classification test results show that the proposed method is accurate and reliable.
参考文献21
-
1A.A. Girgis, R.G. Brown, Adaptive kalman filtering in computer relaying: fault classification using voltage models, IEEE Trans. Power App. Syst. PAS- 104 (5) (1985) 1167-1177,.
-
2T. Dalstein, B. Kulicke, Neural network approach to fault classification for high speed protective relaying, IEEE Trans. Power Del. 10 (2) (1995) 1002-1011.
-
3R.K. Aggarwal, Q.Y. Xuan, R.W. Dunn, A.T. Johns, A. Bennett, A novel fault classification technique for double-circuit lines based on a combined unsupervised/supervised neural network, IEEE Trans. Power Del. 14 (4) (1999) 1250-1256.
-
4B. Das, Fuzzy logic-based fault-type identification in unbalanced radial power distribution system, IEEE Trans. Power Del. 21 (1) (2006) 278-285.
-
5S.P. Valsan, K.S. Swarup, Wavelet transform based digital protection for transmission lines, Electr. Power Energy Syst. 31 (7-8) (2009) 379-388.
-
6P.K. Dash, S.R. Samantaray, G. Panda, Fault classification and section identification of an advanced series-compensated transmission line using support vector machine, IEEE Trans. Power Del. 22 (l) (2007) 67-73.
-
7S.R. Samantaray, P.K. Dash, Transmission line distance relaying using machine intelligence technique, IET Proc. Gener. Transm. Distrib. 2 (1) (2008) 53-61.
-
8O.A.S. Youssef, Combined fuzzy-logic wavelet-based fault classification technique for power system relaying, IEEE Trans. Power Del. 19 (2) (2004) 582-592.
-
9A.K. Pradhan, A. Routray, S. Pati, D.K. Pradhan, Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line, IEEE Trans. Power Del. 19 (4) (2004) 1612-1618.
-
10H. Wang, W.W.L. Keerthipala, Fuzzy-neuro approach to fault classification for transmission line protection, IEEE Trans. Power Del. 13 (4) (1998) 1093-1104.
-
1洪翠,黄志华,林维明.基于SVM实现风力机组控制系统参数优化[J].福建工程学院学报,2012,10(4):360-364.
-
2Omar A. Saraereh,Qais Alsafasfeh,Anas Al Tarabsheh,Aouda Arfoa,Issa Etier.Least Squares Fitting Based Fault Classification in Distribution Systems[J].Journal of Energy and Power Engineering,2014,8(3):560-567. 被引量：1
-
3朱文,薛欣科.基于GPRS技术的输电线路故障管理系统设计的研究[J].电子制作,2016,24(8):95-96. 被引量：2
-
4乔立岩,彭喜元,彭宇.基于支持向量机的键盘密码输入异常检测方法研究[J].电子测量与仪器学报,2004,18(z1):113-116.
-
5K.Sathish KUMAR,T.JAYABARATHI.Fault classification and reconfiguration of distribution ystems using equivalent capacity margin method[J].Frontiers in Energy,2012,6(4):394-402.
-
6Salah Sabry Daiboun Sahel Mohamed Boudour.Fault Location in Transmission Lines Using BP Neural Network Trained with PSO Algorithm[J].Journal of Energy and Power Engineering,2013,7(3):603-611.
-
7贺辉,张来希.用单片机演奏音乐[J].职业,2008,0(7X):99-100. 被引量：1
-
8Huafeng Zhou,Xuanyu Zhao,Di Shi,Huashi Zhao,Chaoyang Jing.Transmission Line Sequence Impedances Identification Using PMU Measurements[J].Journal of Energy and Power Engineering,2015,9(2):214-221. 被引量：1
-
9张金瑞.微机保护算法的仿真研究文献综述[J].变频器世界,2016,0(11):89-91. 被引量：2
-
10Transmission line length and substation capacity on 35 kV and above （as of December 31, 2004）[J].Electricity,2005,16(4):64-64.
