Distributed control strategy of central heating system based on multi-agent consensus

被引:0
|
作者
Su, Gang [1 ,2 ]
Peng, Yongheng [1 ]
Yao, Wanxiang [3 ]
Zhang, Shuangyang [4 ]
机构
[1] Tianjin Chengjian Univ, Sch Control & Mech Engn, Tianjin 300384, Peoples R China
[2] Anhui Jianzhu Univ, Anhui Prov Key Lab Intelligent Bldg Energy Saving, Hefei 230022, Peoples R China
[3] Qingdao Univ Technol, iSMART, Qingdao 266033, Peoples R China
[4] Tianjin Jingwei Hirain Technol Ltd, Tianjin 300384, Peoples R China
基金
中国国家自然科学基金;
关键词
Distributed multi-agent system; District heating system; Heat balance; Multi-agent consensus; OPTIMIZATION; NETWORKS;
D O I
10.1016/j.applthermaleng.2024.125136
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this study, a centralised heat supply system based on a distributed multi-agent consistency algorithm is proposed, aiming at solving the problems of energy wastage and low quality of heat supply due to uneven heat distribution and supply-demand imbalance in the current system. By constructing a multi-agent model based on a typical first-order discrete consistency algorithm and matrix operations, the distributed coordinated control among the intelligences in the system is realised. The system is simulated under four typical operating conditions, including supply-demand equilibrium, heat shortage, demand fluctuation and communication topology change. The simulation results show that the proposed method can dynamically adjust the heat distribution under demand fluctuation, effectively reduce energy waste, and significantly improve the stability and coordination of the system. Compared with the traditional centralised control method, this distributed multi-agent system achieves higher energy efficiency and more balanced heat supply in different scenarios. The results demonstrate the potential of the multi-agent consistency algorithm in centralised heat supply systems and expand its prospects in the field of heat supply.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Dynamic Control Strategy in Power system Based on Multi-agent System
    Ashrafi, Alireza
    Shahrtash, S. Mohammad
    2013 SMART GRID CONFERENCE (SGC'13), 2013, : 173 - 180
  • [42] Distributed Cluster Control for Multi-Microgrids Using Pinning-based Group Consensus of Multi-agent System
    Shen, Yiping
    Xu, Yongming
    Yao, Hongwei
    Shi, Jianxun
    Li, Feiwei
    Wen, Zhen
    Zhang, Chongbiao
    Liu, Wei
    PROCEEDINGS OF 2018 5TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2018, : 1077 - 1080
  • [43] Distributed manipulator control based on multi-agent
    2000, Chinese Acad Sci Shenyang, China (22):
  • [44] Distributed Bounded Consensus-Based Control for Multi-Agent Systems with Undirected Graphs
    Braitor, Andrei-Constantin
    Iovine, Alessio
    Siguerdidjane, Houria
    2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 1153 - 1158
  • [45] Consensus of Multi-Agent Systems with Input Constraints Based on Distributed Predictive Control Scheme
    Hou, Yueqi
    Liang, Xiaolong
    He, Lyulong
    Zhang, Jiaqiang
    Zhu, Jie
    Ren, Baoxiang
    CMC-COMPUTERS MATERIALS & CONTINUA, 2020, 62 (03): : 1335 - 1349
  • [46] Multi-Agent System Based Intelligent Distributed Control System for Power Plants
    Lee, Kwang Y.
    Head, Jason D.
    Gomes, Jason R.
    Williams, Craig S.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [47] CREATION OF INTELLIGENT DISTRIBUTED CONTROL SYSTEM BASED ON MULTI-AGENT TECHNOLOGY
    Frankovic, Baltazar
    Budinska, Ivana
    JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2009, 60 (01): : 29 - 33
  • [48] Distributed edge control for multi-agent based on binocular vision system
    Shao, Nuan
    Li, Huiguang
    Zou, Liying
    Liu, Le
    Journal of Computational Information Systems, 2014, 10 (07): : 2907 - 2915
  • [49] Fully Distributed Consensus Control of General Linear Multi-agent System Based on Dynamic Event-trigger
    Zhang J.
    Li Z.
    Ning X.
    Chen Y.
    Binggong Xuebao/Acta Armamentarii, 2023, 44 : 223 - 234
  • [50] Adaptive coordinated control strategy of multi manipulator system based on multi-agent
    Zhu N.
    Han J.
    Xia L.
    Liu H.
    International Journal of Circuits, Systems and Signal Processing, 2021, 15 : 1159 - 1164