A multiple model filtering approach to transmission line fault diagnosis

被引:10
|
作者
Qin, Qiu [1 ]
Wu, N. Eva [1 ]
机构
[1] SUNY Binghamton, Dept Elect & Comp Engn, 4400 Vestal Pkwy E, Binghamton, NY 13902 USA
关键词
Power systems; Transmission line short circuit; Fault diagnosis; Multiple model filtering; Mode identification; Model order reduction; BACKUP PROTECTION; DETECTION/LOCATION TECHNIQUE; SYSTEMS; IMPLEMENTATION;
D O I
10.1016/j.conengprac.2016.04.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper provides justification and implementation for a multiple model filtering approach to diagnosis of transmission line three-phase short to ground faults in the presence of protection misoperations. This approach utilizes the electric network dynamics and wide area measurements to provide diagnosis outcomes. A second focus of this paper is on the reduction of computational complexity of the diagnosis algorithm. This issue is addressed by a two-step heuristic. The first step designs subsystem models through measurement selection. The second step reduces the dynamic model order. The performance of the diagnosis algorithms are evaluated on a simulated WSCC 9-bus system. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:93 / 102
页数:10
相关论文
共 50 条
  • [1] Transmission Line Fault Diagnosis Method Based on Improved Multiple SVM Model
    Sun, Peichuan
    Liu, Xuefei
    Lin, Meng
    Wang, Jie
    Jiang, Tao
    Wang, Yibo
    IEEE ACCESS, 2023, 11 : 133825 - 133834
  • [2] Transmission line model influence on fault diagnosis
    Brito, NSD
    Neves, WLA
    Souza, BA
    Dantas, KMC
    Fontes, AV
    Fernandes, AB
    Silva, SSB
    2004 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA, 2004, : 412 - 417
  • [3] Fault Diagnosis of Transmission Line - A Phasor Domain Approach
    Tan, Zhenyu
    Liu, Yu
    2019 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2019,
  • [4] A particle-filtering approach for on-line fault diagnosis and failure prognosis
    Orchard, Marcos E.
    Vachtsevanos, George J.
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2009, 31 (3-4) : 221 - 246
  • [5] EMD and ANN based intelligent fault diagnosis model for transmission line
    Malik, Hasmat
    Sharma, Rajneesh
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (04) : 3043 - 3050
  • [6] Unbalanced Fault Diagnosis in Transmission Networks Using Multiple Model Filters
    Salman, Mustafa
    Wu, N. Eva
    Sarailoo, Morteza
    Bay, John S.
    2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 3080 - 3085
  • [7] A Novel Approach to Fault Diagnosis of High Voltage Transmission line - A Self Attentive Convolutional Neural Network Model
    Fahim, Shahriar Rahman
    Sarker, Md Rabiul Islam
    Arifuzzaman, Md
    Hosen, Md Sakhawat
    Sarker, Subrata K.
    Das, Sajal K.
    2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 1329 - 1332
  • [8] On-line multiple-model based fault diagnosis and accommodation
    Yen, GG
    Ho, LW
    PROCEEDINGS OF THE 2001 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL (ISIC'01), 2001, : 73 - 78
  • [9] A Transmission Line Fault Diagnosis Model Based on Interpretable BRB With Power Set
    Zhao, Boying
    Li, Kangle
    Xu, Bing
    Ge, Gaixia
    He, Wei
    IEEE ACCESS, 2024, 12 : 117450 - 117460
  • [10] Fault Diagnosis of a Sensor Network: A Distributed Filtering Approach
    Doraiswami, Rajamani
    Cheded, Lahouari
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2013, 135 (05):