Distribution Feeder Protection and Reconfiguration using Multi-Agent Approach

被引:0
|
作者
Isherwood, N. [1 ]
Rahman, M. S. [1 ]
Oo, A. M. T. [1 ]
机构
[1] Deakin Univ, Sch Engn, Geelong, Vic 3216, Australia
关键词
Distribution feeder; protection system; multi-agent system; fault; communication; SYSTEM;
D O I
暂无
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
This paper presents a multi-agent based protection scheme for reconfiguring and restoring the service of distribution feeders through effective fault diagnosis technique. Short-circuit faults occur frequently in power distribution networks and in such a condition, a proper fault detection is very important to either recover the system from collapse or reconfigure and restore the system after an outage. The detection of multiple fault locations in distribution feeders is challenging and time consuming tasks. In this paper, a hierarchy of relay agents and configuration agent is developed to coordinate the protection system operation. The relay agents contribute to the fault detection and isolation processes whereas the configuration agent reconfigures the system to restore maximum possible loads through effective relay coordination via information exchange. An 11 kV open ring distribution feeder is considered as test bed to evaluate the performance. The simulation results indicate that the proposed method can identify multiple faults in the system accurately and reconfigure the system during the event of faults.
引用
下载
收藏
页数:6
相关论文
共 50 条
  • [1] 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
  • [2] Automatic reconfiguration of a robotic arm using a multi-agent approach
    Britain, S. L.
    Gibb, A. J.
    Roberts, C.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2008, 222 (I2) : 127 - 135
  • [3] Intelligent Reconfiguration of Smart Distribution Network using Multi-Agent Technology
    Chouhan, Sridhar
    Wan, Hui
    Lai, H. J.
    Feliachi, Ali
    Choudhry, M. A.
    2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8, 2009, : 2187 - 2192
  • [4] A novel approach for dynamic reconfiguration of the distribution network via multi-agent system
    Li, Zhenkun
    Chen, Xingying
    Yu, Kun
    Zhao, Bo
    Liu, Haoming
    2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6, 2008, : 1305 - 1311
  • [5] Dynamic Reconfiguration of LPWANs Pervasive System using Multi-agent Approach
    Abdellaoui, Ghouti
    Bendimerad, Fethi Tarik
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (02) : 300 - 305
  • [6] Reconfiguration of Power Distribution Networks by Multi-Agent Systems
    Silva, Cidiney
    Guimaraes, Frederico Gadelha
    2013 1ST BRICS COUNTRIES CONGRESS ON COMPUTATIONAL INTELLIGENCE AND 11TH BRAZILIAN CONGRESS ON COMPUTATIONAL INTELLIGENCE (BRICS-CCI & CBIC), 2013, : 546 - 550
  • [7] Adaptive Services Reconfiguration in Manufacturing Environments Using a Multi-agent System Approach
    Rodrigues, Nelson
    Leitao, Paulo
    Oliveira, Eugenio
    MULTIAGENT SYSTEM TECHNOLOGIES, MATES 2015, 2015, 9433 : 280 - 284
  • [8] An Approach to Multi-Agent Area Protection Using Bayes Risk
    Bays, Matthew J.
    Shende, Apoorva
    Stilwell, Daniel J.
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 642 - 649
  • [9] Dynamic reconfiguration of the distribution network based on multi-agent systems
    College of Electrical Engineering, Hohai University, Nanjing 210098, China
    Zhongguo Dianji Gongcheng Xuebao, 2008, 34 (72-79):
  • [10] A multi-agent system for reconfiguration of distribution systems with distributed generations
    Li, Hengxuan
    Sun, Haishun
    Wen, Jinyu
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2012, 32 (04): : 49 - 56