Application of multi-agent technology to fault diagnosis of power distribution systems

被引:0
|
作者
Yang, JS [1 ]
Carse, B [1 ]
Montakhab, M [1 ]
Pipe, AG [1 ]
Davies, TS [1 ]
机构
[1] Univ W England, Fac Comp Engn & Math Sci, Bristol BS16 1QY, Avon, England
来源
2nd International Industrial Simulation Conference 2004 | 2004年
关键词
software; fault diagnosis; multi-agent systems; simulation; expert systems; decision making; decision support;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
When a fault occurs in a power system, the protective relays detect the fault and trip appropriate circuit breakers, which isolate the affected equipment from the rest of the power system. Fault diagnosis of power systems is the process of identifying faulty components and/or sections by analysing observable symptoms (telemetry messages). As the domain itself is characterised by dynamic situations, extensive telemetering, complex operations, and distribution of lines and substations over a large geographical area, it is difficult to tackle fault diagnosis problems through the strength and capability of a single intelligent system. This paper describes an experimental multi-agent system developed for and aimed at a computer-supported fault diagnosis in electricity distribution networks. Some example faults have been simulated on the distribution network. The system is based on a hierarchy of five agents that co-operate with each other in order to diagnose a fault.
引用
收藏
页码:265 / 271
页数:7
相关论文
共 50 条
  • [1] Application of Multi-Agent Technology to Fault Diagnosis of Power Distribution Systems
    Yang, Jusong
    Montakhab, Mohammad
    Pipe, Anthony G.
    Carse, Brian
    Davies, Terence S.
    INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION TECHNOLOGIES, 2005, 1 (02) : 1 - 16
  • [2] Fault diagnosis of power distribution systems using a multi-agent approach
    Yang, JS
    Montakhab, M
    Davies, TS
    Pipe, AG
    Carse, B
    UPEC 2004: 39th International Universitities Power Engineering Conference, Vols 1-3, Conference Proceedings, 2005, : 448 - 452
  • [3] Application of multi-agent in control and fault diagnosis systems
    Li, TJ
    Peng, YQ
    Zhao, RW
    Li, K
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 194 - 197
  • [4] The Application of Multi-agent Technology in the Fault Diagnosis System of Motor Armature
    Yang, Sufei
    Wu, Xiaoping
    GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2, 2011, 84-85 : 106 - +
  • [5] Supervisory and fault diagnosis technology based on multi-agent and it's application
    Yu, Zhiwei
    Su, Baoku
    Zeng, Ming
    Jisuanji Gongcheng/Computer Engineering, 2006, 32 (13): : 222 - 224
  • [6] A Multi-Agent System Based Fault Diagnosis for Active Distribution Systems
    Tian, Fangyuan
    Wen, Fushuan
    Wang, Xiaolei
    Xue, Yusheng
    Salam, Md. Abdus
    2016 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA), 2016, : 1110 - 1114
  • [7] A multi-agent system for fault location and service restoration in power distribution systems
    Mohamed, Azeroual
    Lamhamdi, Tijani
    El Moussaaoui, Hassan
    El Markhi, Hassane
    MULTIAGENT AND GRID SYSTEMS, 2019, 15 (04) : 343 - 358
  • [8] Decentralized Fault Diagnosis for Heterogeneous Multi-Agent Systems
    Boem, Francesca
    Sabattini, Lorenzo
    Secchi, Cristian
    2016 3RD CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL), 2016, : 771 - 776
  • [9] A multi-agent architecture for fault diagnosis in manufacturing systems
    Fries, TP
    Graham, JH
    IC-AI'2001: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS I-III, 2001, : 116 - 121
  • [10] Multi-agent based coordinated protection systems for distribution feeder fault diagnosis and reconfiguration
    Rahman, M. S.
    Isherwood, N.
    Oo, A. M. T.
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 97 : 106 - 119