Power System Reconfiguration Using Graph Trace Analysis and Multi-agent System

被引：0
|
作者：
Shang, Anli [1 ,2 ]
Yan, Shengmao [1 ]
机构：
[1] Naval Univ Engn, Coll Elect Engn, Wuhan, Peoples R China
[2] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015) | 2015年 / 117卷
关键词：
Shipboard Power System; Multi-agent System; Graph Trace Analysis; Reconfiguration; Iterator; LOSS REDUCTION;
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：
This paper presents a multi-agent system that performs shipboard power system reconfiguration. If shipboard electric power supply interruption is caused by a fault, it is important to restore the power system as soon as possible to a target network configuration after the fault. The system views the problem as the interaction of independent agents. The approach is implemented using MAS (Multi Agent System) and graph trace analysis (GTA) method. Simulation results have demonstrated that the method is able to reach the target configurations.
引用
收藏
页码：501 / 505
页数：5
相关论文
共 50 条
  • [31] A Decentralized Distribution Power System Restoration by using Multi-agent Approach
    Nagata, Takeshi
    Okamoto, Kazuya
    [J]. 2014 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON), 2014,
  • [32] NAVY ship power system restoration using multi-agent approach
    Momoh, James A.
    [J]. 2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9, 2006, : 932 - 936
  • [33] Reconfiguration of Power Distribution Networks by Multi-Agent Systems
    Silva, Cidiney
    Guimaraes, Frederico Gadelha
    [J]. 2013 1ST BRICS COUNTRIES CONGRESS ON COMPUTATIONAL INTELLIGENCE AND 11TH BRAZILIAN CONGRESS ON COMPUTATIONAL INTELLIGENCE (BRICS-CCI & CBIC), 2013, : 546 - 550
  • [34] Rotating consensus of the multi-agent system under a directed graph
    Li, Qiaoyun
    Mei, Jie
    [J]. 2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 7177 - 7182
  • [35] A multi-agent intelligent interpretation system for power system disturbance diagnosis
    Hossack, J
    McArthur, SDJ
    Davidson, E
    McDonald, JR
    Cumming, T
    [J]. APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS X, 2003, : 91 - 104
  • [36] Dynamic Control Strategy in Power system Based on Multi-agent System
    Ashrafi, Alireza
    Shahrtash, S. Mohammad
    [J]. 2013 SMART GRID CONFERENCE (SGC'13), 2013, : 173 - 180
  • [37] A Cooperative Multi-Agent System for Wind Power Forecasting
    Esteoule, Tanguy
    Perles, Alexandre
    Bernon, Carole
    Gleizes, Marie-Pierre
    Barthod, Morgane
    [J]. ADVANCES IN PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND COMPLEXITY: THE PAAMS COLLECTION, 2018, 10978 : 152 - 163
  • [38] A multi-agent approach to power system disturbance diagnosis
    Hossack, J
    McArthur, SDJ
    McDonald, JR
    Stokoe, J
    Cumming, T
    [J]. FIFTH INTERNATIONAL CONFERENCE ON POWER SYSTEM MANAGEMENT AND CONTROL, 2002, (488): : 317 - 322
  • [39] Multi-agent approach to emergency control of power system
    Panasetsky, D. A.
    Etingov, P. V.
    Voropai, N. I.
    [J]. 2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6, 2008, : 2157 - 2161
  • [40] A multi-agent home automation system for power management
    Abras, Shadi
    Ploix, Stephane
    Pesty, Sylvie
    Jacomino, Mireille
    [J]. ICINCO 2006: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION, 2006, : 3 - +
12345