On-line trained neuro-fuzzy distance relay with directional element

被引：0
|
作者：
Abdelazim, T [1 ]
Osman, AH [1 ]
Malik, P [1 ]
机构：
[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
来源：
2004 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1 AND 2 | 2004年
关键词：
distance protection relaying; directional element; neuro-fuzzy networks; power systems;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A new directional element for an on-line trained Neuro-Fuzzy Network (NFN) numerical distance relay is developed. Numerical simulation studies are performed on a differential equation based transmission line model that includes the fault resistance and the remote-end infeed. The fault direction is identified based on the +/- sign of the estimated fault distance. The results obtained show fast estimation of distance to the fault with accurate fault direction assessment.
引用
收藏
页码：815 / 820
页数：6
相关论文
共 50 条
  • [1] Application of on-line neuro-fuzzy controller to AUVs
    Kim, TW
    Yuh, J
    [J]. INFORMATION SCIENCES, 2002, 145 (1-2) : 169 - 182
  • [2] An evolutionary neuro-fuzzy approach to recognize on-line Arabic handwriting
    Alimi, AM
    [J]. PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, 1997, : 382 - 386
  • [3] Fast on-line neuro-fuzzy controller for autonomous underwater vehicles
    Kim, TW
    Yuh, J
    [J]. PROCEEDINGS OF THE FIFTEENTH (2005) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 2, 2005, : 289 - 294
  • [4] A new neuro-fuzzy classifier with application to on-line face detection and recognition
    Taur, JS
    Tao, CW
    [J]. JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2000, 26 (03): : 397 - 409
  • [5] An IV-QR algorithm for neuro-fuzzy multivariable on-line identification
    Serra, GLO
    Bottura, CP
    [J]. INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, 2005, : 2891 - 2898
  • [6] A New Adaptive Neuro-Fuzzy Approach for On-Line Nonlinear System Identification
    Hamzehnejad, Morteza
    Salahshoor, Karim
    [J]. 2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 1035 - 1039
  • [7] Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning
    Bodyanskiy, Yevgeniy
    Vynokurova, Olena
    Pliss, Iryna
    Peleshko, Dmytro
    Rashkevych, Yuriy
    [J]. ADVANCES IN DEPENDABILITY ENGINEERING OF COMPLEX SYSTEMS, 2018, 582 : 49 - 59
  • [8] An on-line learning neuro-fuzzy system based on artificial immune systems
    Su, MC
    Yang, YS
    Chou, CH
    Lai, E
    Hsiao, MN
    [J]. 2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, : 1073 - 1078
  • [9] A New Neuro-Fuzzy Classifier with Application to On-Line Face Detection and Recognition
    J.S. Taur
    C.W. Tao
    [J]. Journal of VLSI signal processing systems for signal, image and video technology, 2000, 26 : 397 - 409
  • [10] On-line performance estimation and condition monitoring using neuro-fuzzy techniques
    Uytterhoeven, G
    Renders, JM
    de Viron, F
    De Vlaminck, M
    Fantoni, PF
    [J]. ON-LINE FAULT DETECTION AND SUPERVISION IN THE CHEMICAL PROCESS INDUSTRIES 1998, 1998, : 335 - 340
12345