Multi-immune-agent based power quality monitoring method for electrified railway

被引:0
|
作者
Su, Hongsheng [1 ]
Zhang, Youpeng [1 ]
机构
[1] Lanzhou Jiaotong Univ, Sch Automat & Elect Engn, Lanzhou 730070, Peoples R China
关键词
electrified railway; multi-immune-agent; power quality monitoring;
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
In view of the fact that existing power quality monitoring system can't satisfy increasing demands such as wide-area large-scale far-reaching distributions of monitoring points of electrified railway as well as uncertainties of environmental varieties such as loads change in point of common coupling (PCC), traditional power quality monitoring methods for electrified railway are difficult to adapt it well. Based on it, combining autonomous decentralized systems (ADS), artificial immune systems (AIS) and multi-agent (MA) technology, in this paper a novel power quality monitoring method for electrified railway called cooperative multi-immune-agent system is proposed. It not only can be used to monitor the distributed process state in real time and diagnose faults in advance, but also can improve the operational condition of power system and enhance the efficiency of power supply, and is a new approach for distributed artificial intelligence (DAI). The study shows cooperative multi-immune-agent system is a quite in-compact self-organizing system, more flexible and robust and updated locally, quite suitable to solve indeterminate problems under dynamic environment.
引用
收藏
页码:399 / +
页数:3
相关论文
共 50 条
  • [21] Hybrid Railway Power Quality Conditioner for Autotransformer-Fed AC Electrified Railway Systems
    Park, Haneol
    Song, Joongho
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2011, 6 (03): : 1398 - 1408
  • [22] Ontology and multi-agent based intelligent retrieval model for power quality monitoring information
    Tan, D. (453786800@qq.com), 1600, Power System Technology Press (37):
  • [23] A Traction Load Forecasting Method of Electrified Railway Based on LSTM
    Ma, Qian
    Peng, Yishuang
    Luo, Pei
    Li, Qianru
    Wang, Hao
    Yu, Jing
    2020 IEEE 9TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC2020-ECCE ASIA), 2020, : 2861 - 2866
  • [24] Study and application of a new power quality combined compensation system for electrified railway
    Zhang, Dinghua
    Gui, Weihua
    Wang, Weian
    Wang, Xiaofang
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2009, 24 (03): : 189 - 194
  • [25] Hybrid power quality conditioner for co-phase power supply system in electrified railway
    Dai, N. Y.
    Lao, K. W.
    Wong, M. C.
    Wong, C. K.
    IET POWER ELECTRONICS, 2012, 5 (07) : 1084 - 1094
  • [26] Power Quality Distribution Characteristics Analysis for Multi-electrified Railway Traction Load based on Improved Gaussian Mixture Models with Merging Operator
    Wang, Jinhao
    Yang, Chaoying
    Qi, Yuewen
    Wu, Yulong
    Chang, Xiao
    Tian, Ying
    Sun, Weiqing
    PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND ENVIRONMENT ENGINEERING (ICSEEE 2016), 2016, 63 : 564 - 568
  • [27] The study of the TDM power meter precision change caused by electrified railway power quality problem
    Zhou, Xuan
    Qian, Min-Hui
    Zhao, Jian-Feng
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2009, 37 (01): : 28 - 32
  • [28] Study on New Traction Power Supply System for Power Quality Comprehensive Compensation in Electrified Railway
    Chen, Minwu
    Luo, Jie
    Jiang, Wenbing
    Wang, Yaowu
    TENCON 2015 - 2015 IEEE REGION 10 CONFERENCE, 2015,
  • [29] An evaluation method of power quality about electrified railways connected to power grid based on PSCAD/EMTDC
    Liang, Weibin
    Ouyang, Sen
    Huang, Xiang
    Su, Weijian
    2017 2ND ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2017), 2017, 199
  • [30] Power quality improvement of DC electrified railway distribution systems using hybrid filters
    Hosseini, SH
    Shahnia, F
    Sarhangzadeh, M
    Babaei, E
    ICEMS 2005: PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1-3, 2005, : 1273 - 1277