Fault detection in transmission networks of power systems

被引:43
|
作者
Saha, S. [1 ]
Aldeen, M. [1 ]
Tan, C. P. [1 ,2 ]
机构
[1] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3010, Australia
[2] Monash Univ, Sch Engn, Jalan Lagoon Selatan 46150, Bandar Sunway, Malaysia
关键词
SMIB; Synchronous generator; Fault detection; Modelling; Sliding mode observer; Transmission lines; SLIDING MODE OBSERVERS; ROBUST-DETECTION; LINEAR-SYSTEMS; RECONSTRUCTION;
D O I
10.1016/j.ijepes.2010.12.026
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
An online fault detection scheme for a sample power system is introduced in this paper. The detection approach is based on the use of a variable structure system called "sliding mode observer", where information contained in the output measurements is utilized to detect the onset of faults in the transmission network of the sample power system in real time and online. The power system comprises a generating unit connected to an infinite bus through double line transmission network. The common case of a fault occurring on a transmission line is illustrated through simulation studies. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:887 / 900
页数:14
相关论文
共 50 条
  • [41] Power transformer fault detection using intelligent neural networks
    Huang, YC
    2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS, 2002, : 1761 - 1764
  • [42] An implementation of small signal fault detection for neutral power networks
    Jia, QQ
    Wang, N
    Zhang, H
    Lin, DS
    ICEMI 2005: CONFERENCE PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL 8, 2005, : 229 - 234
  • [43] Fault Detection of Power Grid Using Graph Convolutional Networks
    Lei, Min
    Pan, Rongbo
    Han, Lei
    Shan, Peifa
    Zhao, Yaopeng
    Li, Yangyang
    PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ARTIFICIAL INTELLIGENCE, PEAI 2024, 2024, : 256 - 260
  • [44] Fault Detection and Classification in Medium Voltage DC Shipboard Power Systems With Wavelets and Artificial Neural Networks
    Li, Weilin
    Monti, Antonello
    Ponci, Ferdinanda
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2014, 63 (11) : 2651 - 2665
  • [45] Fault Detection of Resonant Inverters for Wireless Power Transmission using MLMVNN
    Catelani, M.
    Ciani, L.
    Luchetta, A.
    Manetti, S.
    Piccirilli, M. C.
    Reatti, A.
    Kazimierczuk, Marian K.
    2016 IEEE 2ND INTERNATIONAL FORUM ON RESEARCH AND TECHNOLOGIES FOR SOCIETY AND INDUSTRY LEVERAGING A BETTER TOMORROW (RTSI), 2016, : 494 - 498
  • [46] Power Swing and Fault Detection of Transmission Lines by Implementing Different Wavelets
    Akolkar, Sonali
    Jariwala, R. R.
    2020 3RD INTERNATIONAL CONFERENCE ON ENERGY, POWER AND ENVIRONMENT: TOWARDS CLEAN ENERGY TECHNOLOGIES (ICEPE 2020), 2021,
  • [47] A Fault Detection Method for Power Transmission Lines Using Aerial Images
    Zhang, Yulong
    Cao, Shaowei
    Mu, Lingxia
    Xue, Xianghong
    Xin, Jing
    Zhang, Youmin
    2024 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS, ICUAS, 2024, : 1247 - 1252
  • [48] Fault classification in power systems using artificial neural networks
    Chowdhury, BH
    Wang, KY
    ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, 1996, 4 (02): : 101 - 112
  • [49] Traveling Wave Fault Location in Coal mine Power Transmission Systems
    Tian Shu
    Ma Shishen
    2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 616 - 619
  • [50] Application guidelines for power swing detection on transmission systems
    Mooney, Joe
    Fischer, Normann
    2006 59TH ANNUAL CONFERENCE FOR PROTECTIVE RELAY ENGINEERS, 2006, : 289 - 298