Rough-Set-based timing characteristic analyses of distance protective relay

被引:7
|
作者
Othman, Mohammad Lutfi [1 ]
Aris, Ishak [1 ]
Othman, Mohammad Ridzal [2 ]
Osman, Hairussaleh [2 ]
机构
[1] Univ Putra Malaysia, Dept Elect & Elect Engn, Fac Engn, Upm Serdang 43400, Selangor, Malaysia
[2] Tenaga Nas Berhad, Dept Engn, Petaling Jaya 46100, Selangor, Malaysia
关键词
Distance protection; Digital protective relay; Event report; Data mining; Decision system; Rough set theory; GENETIC-ALGORITHM;
D O I
10.1016/j.asoc.2012.03.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays protection engineers are suffering from very complex implementations of protection system analysis due to massive quantities of inconsistent data, let alone coming from diverse intelligent electronic devices (IEDs). Thus, a novel Rough-Set-based data mining strategy has been formulated to resolve the inconsistency in a distance protective relay's decision system (i.e. a transformed relay event report) in such a way that the relay's timing characteristics hidden in its decision algorithm of protection operations have been successfully discovered. Using Rough Set Theory, the inherent uncertainty and vagueness in the relay event report have been resolved using the concepts of discernibility, elementary sets and set approximations. The timing characteristics that have been successfully discovered are in relation to the relay trip assertion activity, impedance element activation, fault characteristics, circuit breaker operation and its overall decision system approximation. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:2053 / 2062
页数:10
相关论文
共 50 条
  • [41] Processing and Filtrating of Driver Fatigue Characteristic Parameters Based on Rough Set
    Ye, Wenwu
    Zhao, Xuyang
    [J]. 6TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2018), 2018, 1967
  • [42] Intuitionistic fuzzy rough set model based on conflict distance and applications
    Liu, Yong
    Lin, Yi
    [J]. APPLIED SOFT COMPUTING, 2015, 31 : 266 - 273
  • [43] Probability granular distance-based fuzzy rough set model
    An, Shuang
    Hu, Qinghua
    Wang, Changzhong
    [J]. APPLIED SOFT COMPUTING, 2021, 102
  • [44] Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks
    Huang, Xiaoling
    Li, Lei
    Wang, Hao
    Hu, Chengxiang
    Xu, Xiaohan
    Wu, Changlin
    [J]. Complexity, 2022, 2022
  • [45] Feature selection based on bhattacharyya distance: A generalized rough set method
    Sun, Liang
    Han, Chong-Zhao
    Dai, Ning
    Shen, Jian-Jing
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 644 - 644
  • [46] Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks
    Huang, Xiaoling
    Li, Lei
    Wang, Hao
    Hu, Chengxiang
    Xu, Xiaohan
    Wu, Changlin
    [J]. COMPLEXITY, 2022, 2022
  • [47] Static characteristic analysis of distance relay based on EMTP steady state computation
    Zhan, Yi
    Li, Yan
    Hu, Yufeng
    Chen, Deshu
    Zhang, Zhe
    [J]. 2003, Automation of Electric Power Systems Press (27):
  • [48] Estimation of fast pyrolysis bio-oil properties from feedstock characteristics using rough-set-based machine learning
    Chong, Jia Wen
    Thangalazhy-Gopakumar, Suchithra
    Tan, Raymond R.
    Aviso, Kathleen B.
    Chemmangattuvalappil, Nishanth G.
    [J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2022, 46 (13) : 19159 - 19176
  • [49] Study on characteristic consistent blocks based rough set approach to incomplete system
    Zhou, Junyi
    Yang, Xibei
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC 2012), 2012, : 663 - 666
  • [50] Decision tree construction based on rough set theory under characteristic relation
    Song, Jing
    Li, Tianrui
    Wang, Ying
    Qi, Jianhuai
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE 2007), 2007,