Consensus of cyber-physical power systems based on multi-agent systems with communication constraints

被引:0
|
作者
Chi HUANG [1 ,2 ]
Chengli FENG [3 ]
Jinde CAO [2 ]
机构
[1] School of Economic Information Engineering, Southwestern University of Finance and Economics
[2] School of Mathematics, Southeast University
[3] College of Mathematics, Taiyuan University of Technology
基金
美国国家科学基金会;
关键词
Cyber-physical power system; Fractional-order system; Multi-agent system; Communication constraint;
D O I
暂无
中图分类号
TM73 [电力系统的调度、管理、通信];
学科分类号
080802 ;
摘要
The consensus protocol of cyber-physical power systems is proposed based on fractional-order multi-agent systems with communication constraints. It aims to enable each generator to reach a time-varying common rotor angle and rotor speed. Communication constraints including event-triggered sampling and partial information transmission are considered to render the consensus protocol more realistic. The Zeno behavior is excluded during the system sampling process. A sufficient condition is derived to solve the consensus problem. The effectiveness of the proposed consensus protocol is demonstrated by a numerical example.
引用
收藏
页码:1081 / 1093
页数:13
相关论文
共 50 条
  • [41] The Framework for Designing Autonomous Cyber-Physical Multi-agent Systems for Adaptive Resource Management
    Gorodetsky, V., I
    Kozhevnikov, S. S.
    Novichkov, D.
    Skobelev, P. O.
    [J]. INDUSTRIAL APPLICATIONS OF HOLONIC AND MULTI-AGENT SYSTEMS (HOLOMAS 2019), 2019, 11710 : 52 - 64
  • [42] Multi-agent modelling of cyber-physical systems for IEC 61499-based distributed intelligent automation
    Lyu, Guolin
    Brennan, Robert W.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2023,
  • [43] Cyber-physical system model based on multi-agent system
    Ahmed, Maqbol
    Kazar, Okba
    Harous, Saad
    [J]. IET CYBER-PHYSICAL SYSTEMS: THEORY & APPLICATIONS, 2024,
  • [44] ON ROBUST CONSENSUS OF MULTI-AGENT SYSTEMS WITH COMMUNICATION DELAYS
    Hu, Jiangping
    [J]. KYBERNETIKA, 2009, 45 (05) : 768 - 784
  • [45] On consensus in multi-agent systems with quantized signal communication
    Furusaka, Takumi
    Sato, Takao
    Araki, Nozomu
    Konishi, Yasuo
    [J]. IEEJ Transactions on Electronics, Information and Systems, 2019, 139 (04): : 300 - 304
  • [46] Resilient Consensus for Multi-Agent Systems with Quantized Communication
    Wu, Yiming
    He, Xiongxiong
    Liu, Shuai
    [J]. 2016 AMERICAN CONTROL CONFERENCE (ACC), 2016, : 5136 - 5140
  • [47] Observer based consensus for nonlinear multi-agent systems with communication failures
    Zhang, Wentao
    Kou, Kit Ian
    Lou, Jungang
    Liu, Yang
    [J]. NEUROCOMPUTING, 2016, 173 : 1034 - 1043
  • [48] Containment Consensus of Multi-agent Systems with Communication Noises
    Wang, Fusheng
    Yang, Hongyong
    [J]. PROCEEDINGS OF 2016 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL I, 2016, 404 : 189 - 197
  • [49] Consensus of Heterogeneous Multi-Agent Systems with Intermittent Communication
    Lü XU
    Shuanghe MENG
    Liang CHEN
    [J]. Journal of Systems Science and Information, 2017, 5 (04) : 328 - 342
  • [50] Group consensus of multi-agent systems with communication delays
    Xia, Hong
    Huang, Ting-Zhu
    Shao, Jin-Liang
    Yu, Jun-Yan
    [J]. NEUROCOMPUTING, 2016, 171 : 1666 - 1673