A Novel Approach to Fault Detection in Complex Electric Power Systems

被引:8
|
作者
Zhang, Yagang [1 ]
Wang, Zengping [1 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Baoding 071003, Peoples R China
关键词
wide area measurement system; wide area backup protection; topology analysis; fault detection; Rayleigh disturbance; OPTIMAL PMU PLACEMENT; PROTECTION SCHEME; STATE ESTIMATION;
D O I
10.4316/AECE.2014.03003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The new type of backup protection can utilize different kinds of information in a larger scale. The research of this paper is focused on the centralized decision and distributed implementation of wide area backup protection system in large-scale power grid. Topology analysis of power network is substantially network connectivity judgment. The operation conditions in case of a failure should be truthfully reflected in the actual structure of network topology, which requires the system failure must be detected promptly and accurately, and prepare for the subsequent adjustment of operation scheme. In the research of this paper, for different kinds of complex system failures, we have put forward a novel fault factor analysis scheme which can realize rapid, accurate and effective fault detection. Many simulations have verified that the fault factor analysis can successfully detect the failures in complex electric power system.
引用
收藏
页码:27 / 32
页数:6
相关论文
共 50 条
  • [41] Artificial Neural Network Approach for Fault Detection and Identification in Power Systems with Wide Area Measurement Systems
    Nathan Elias Maruch Barreto
    Rafael Rodrigues
    Ricardo Schumacher
    Alexandre Rasi Aoki
    Germano Lambert-Torres
    Journal of Control, Automation and Electrical Systems, 2021, 32 : 1617 - 1626
  • [42] A novel immune inspired approach to fault detection
    Guzella, Thiago S.
    Mota-Santos, Tomaz A.
    Caminhas, Walmir M.
    ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS, 2007, 4628 : 107 - +
  • [43] Fault Detection and Identification Based on DFS in Electric Power Network
    Zhang Yagang
    Zhang Jinfang
    Ma Jing
    Wang Zengping
    2008 IEEE INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING WORKSHOP PROCEEDINGS, VOLS 1 AND 2, 2008, : 742 - +
  • [44] Electric power system fault detection based on posterior probability
    Zhang, Yagang
    Wang, Zengping
    Zhang, Jinfang
    ICIC Express Letters, 2012, 6 (07): : 1721 - 1725
  • [45] Neurofuzzy Approach to Fault Detection of Nonlinear Systems
    Hu, Jinglu
    Hirasawa, Kotaro
    Kumamaru, Kousuke
    Journal of Advanced Computational Intelligence and Intelligent Informatics, 1999, 3 (06): : 524 - 531
  • [46] A Robust Fault Detection Approach for Nonlinear Systems
    Chen, Min-Ze
    Zhao, Qi
    Zhou, Dong-Hua
    INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 2006, 3 (01) : 23 - 28
  • [47] A unified approach to the optimization of fault detection systems
    Ding, SX
    Jeinsch, T
    Frank, PM
    Ding, EL
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2000, 14 (07) : 725 - 745
  • [48] A geometric approach to fault detection of periodic systems
    Longhi, Sauro
    Monteriu, Andrea
    PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14, 2007, : 4936 - 4942
  • [49] A robust fault detection approach for nonlinear systems
    Min-Ze Chen
    Qi Zhao
    Dong-Hua Zhou
    International Journal of Automation and Computing, 2006, 3 (1) : 23 - 28