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
  • [31] A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems
    Kea, Kimleang
    Han, Youngsun
    Min, Young-Jae
    IEEE ACCESS, 2024, 12 : 67525 - 67536
  • [32] Integrating AI-driven Fault Detection and Protection Technique for Electric Power Components and Systems
    Venkatasubramanian, R.
    Diwakar, G.
    Subhashini, P.
    Kumar, V. Venkata
    Rayudu, K.
    Isaac, J. Samson
    Teja, K. Bhanu
    Rajaram, A.
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2024, 14 (02): : 293 - 303
  • [33] The dynamic intelligent fault detection in complex systems
    Tappe, R
    Ehrhardt, D
    MEASURING AND TESTING TECHNIQUES IN VEHICLE DEVELOPMENT: TESTING AND SIMULATION, 2003, 1755 : 157 - 163
  • [34] Analysis of brittleness in complex electric power systems
    Yan Li-mei
    Jin Hong-zhang
    Xu Jian-jun
    Wang Qiong
    Rong Pan-xiang
    Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2, 2005, : 2061 - +
  • [35] Fault detection in transmission networks of power systems
    Saha, S.
    Aldeen, M.
    Tan, C. P.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2011, 33 (04) : 887 - 900
  • [36] Fault detection in measuring systems of power plants
    Gluch, Jerzy
    POLISH MARITIME RESEARCH, 2008, 15 (04) : 45 - 51
  • [37] Methodologies in power systems fault detection and diagnosis
    Aleem, Saad Abdul
    Shahid, Nauman
    Naqvi, Ijaz Haider
    ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 2015, 6 (01): : 85 - 108
  • [38] A New Approach for Machine Learning-Based Fault Detection and Classification in Power Systems
    Tokel, Mil Alper
    Al Halaseh, Rana
    Alirezaei, Gholamreza
    Mathar, Rudolf
    2018 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2018,
  • [39] Evidential reasoning based approach to high impedance fault detection in power distribution systems
    Soheili, Adel
    Sadeh, Javad
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (05) : 1325 - 1336
  • [40] Artificial Neural Network Approach for Fault Detection and Identification in Power Systems with Wide Area Measurement Systems
    Barreto, Nathan Elias Maruch
    Rodrigues, Rafael
    Schumacher, Ricardo
    Aoki, Alexandre Rasi
    Lambert-Torres, Germano
    JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, 2021, 32 (06) : 1617 - 1626