A heuristic approach for predicting fault locations in distribution power systems

被引:2
|
作者
Nastac, Laurentiu [1 ]
Thatte, Anupam A. [1 ,2 ]
机构
[1] Concurrent Technol Corp, Pittsburgh, PA 15219 USA
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
关键词
distribution power system; fault location; genetic algorithm; knowledge based system;
D O I
10.1109/NAPS.2006.360136
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The first step in restoring systems after a fault is detected, is determining the fault location. The large number of candidate locations for the fault makes this a complex process. Knowledge based methods have the capability to accomplish this quickly and reliably. In this paper, a heuristic approach has been used to predict potential fault locations. A software tool implements the heuristic rules and a genetic algorithm based search. The implementation and evaluation results of this tool have been presented.
引用
收藏
页码:9 / +
页数:3
相关论文
共 50 条
  • [41] Tuning of Controllers in Power Systems Using a Heuristic-Stochastic Approach
    Verdejo, Humberto
    Torres, Rodrigo
    Pino, Victor
    Kliemann, Wolfgang
    Becker, Cristhian
    Delpiano, Jose
    [J]. ENERGIES, 2019, 12 (12)
  • [42] The Performance of a New Heuristic Approach for Tracking Maximum Power of PV Systems
    Aripriharta, Aripriharta
    Wibowo, Kusmayanto Hadi
    Fadlika, Irham
    Muladi, Muladi
    Mufti, Nandang
    Diantoro, Markus
    Horng, Gwo-Jiun
    [J]. APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING, 2022, 2022
  • [43] An optimization approach to fault detection with sensor locations
    Peng Tao
    Gui Wei-Hua
    Steven X Ding
    He Bei
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 3026 - +
  • [44] A Nonlinear Systems Theory Approach to Assessment of Fault Vulnerability in Power Systems
    Fisher, Michael
    [J]. 2020 EUROPEAN CONTROL CONFERENCE (ECC 2020), 2020, : 329 - 329
  • [45] High-impedance fault detection in electrical power distribution systems using moving sum approach
    Sarwagya, Kumari
    De, Sourav
    Nayak, Paresh Kumar
    [J]. IET SCIENCE MEASUREMENT & TECHNOLOGY, 2018, 12 (01) : 1 - 8
  • [46] Optimal load distribution estimation for fault location in electric power distribution systems
    Menchafou Y.
    Zahri M.
    Habibi M.
    El Markhi H.
    [J]. 2017, De Gruyter Open Ltd (66) : 77 - 87
  • [47] Hybrid Intelligent Architecture for Fault Identification in Power Distribution Systems
    Flauzino, R. A.
    Ziolkowski, V.
    da Silva, I. N.
    de Souza, D. M. B. S.
    [J]. 2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8, 2009, : 209 - +
  • [48] Extended Fault-Location Formulation for Power Distribution Systems
    Salim, Rodrigo Hartstein
    Resener, Mariana
    Filomena, Andre Daros
    Caino de Oliveira, Karen Rezende
    Bretas, Arturo Suman
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2009, 24 (02) : 508 - 516
  • [49] Fault-location Observability Analysis on Power Distribution Systems
    Xiu, Wanjing
    Liao, Yuan
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2014, 42 (16) : 1862 - 1871
  • [50] Effects of Superconducting Fault Current Limiter on Power Distribution Systems
    Pei, Zhengjiang
    He, Junjia
    [J]. 2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7, 2009, : 2277 - 2281