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

被引：2
|
作者：
Huang, Chi [1 ,2 ]
Feng, Chengli [3 ]
Cao, Jinde [2 ]
机构：
[1] Southwestern Univ Finance & Econ, Sch Econ Informat Engn, Chengdu 611130, Sichuan, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
[3] Taiyuan Univ Technol, Coll Math, Taiyuan 030024, Shanxi, Peoples R China
来源：
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY | 2019年 / 7卷 / 05期
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; EVENT-TRIGGERED CONSENSUS; SYNCHRONIZATION ANALYSIS; VOLTAGE COLLAPSE; CONTROL STRATEGY;
D O I：
10.1007/s40565-018-0491-4
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
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
  • [1] Consensus of cyber-physical power systems based on multi-agent systems with communication constraints
    Chi HUANG
    Chengli FENG
    Jinde CAO
    Journal of Modern Power Systems and Clean Energy, 2019, 7 (05) : 1081 - 1093
  • [2] Undetectable Cyber Attacks on Communication Links in Multi-Agent Cyber-Physical Systems
    Taheri, Mandi
    Khorasani, Khashayar
    Shames, Iman
    Meskin, Nader
    2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 3764 - 3771
  • [3] Consensus in multi-agent systems with communication constraints
    Wen, Guanghui
    Duan, Zhisheng
    Yu, Wenwu
    Chen, Guanrong
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2012, 22 (02) : 170 - 182
  • [4] A distributed predictive formation control strategy for cyber-physical multi-agent systems under communication constraints
    Cao, Lei
    Zhang, Da-Wei
    Ionescu, Clara Mihaela
    Liu, Guo-Ping
    INFORMATION SCIENCES, 2023, 641
  • [5] Security of Multi-Agent Cyber-Physical Systems: A Survey
    Owoputi, Richard
    Ray, Sandip
    IEEE ACCESS, 2022, 10 : 121465 - 121479
  • [6] Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication
    Redder, Adrian
    Ramaswamy, Arunselvan
    Karl, Holger
    ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 1, 2022, : 282 - 289
  • [7] Consensus of nonlinear multi-agent systems with communication constraints
    Cui Bing
    Zhao Chunhui
    Ma Tiedong
    Feng Chi
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 6729 - 6733
  • [8] Towards Privacy Preserving Consensus Control in Multi-Agent Cyber-Physical Systems Subject to Cyber Attacks
    Taheri, Mahdi
    Khorasani, Khashayar
    Shames, Iman
    Meskin, Nader
    2021 EUROPEAN CONTROL CONFERENCE (ECC), 2021, : 939 - 945
  • [9] Resilience through Learning in Multi-Agent Cyber-Physical Systems
    Karydis, Konstantinos
    Kannappan, Prasanna
    Tanner, Herbert G.
    Jardine, Adam
    Heinz, Jeffrey
    FRONTIERS IN ROBOTICS AND AI, 2016, 3
  • [10] Resilient Control and Safety for Multi-Agent Cyber-Physical Systems
    Lukina, Anna
    PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 5187 - 5188
12345