Improvement of real-time power tracking in microgrid using multi-agent system

被引:1
|
作者
Yin, Xiaoqi [1 ]
Ding, Ming [1 ]
机构
[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Anhui, Peoples R China
关键词
microgrid; multi-agent system; real-time power tracking; FUEL-CELL;
D O I
10.1002/tee.22498
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
A multi-agent system (MAS) provides flexible and intelligent control schemes for microgrids and their units. However, a certain period of time is required for a controllable source (CS) to change its output power, and the communication delay poses a challenge for real-time tracking of CS output power in MAS control, an important factor affecting the transient performance of MAS power coordination. In this paper, we propose and emulate a new power tracking method based on the communication inside MAS about the change of output variation speed in every CS together with a timestamp for each change. The MAS emulates and tracks the total output power of all CSs in real time. Compared to the conventional method, the emulation results indicate that this new method has a significantly better real-time performance, especially for a large number of CS and under more undesirable communication conditions. (c) 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
引用
收藏
页码:58 / 64
页数:7
相关论文
共 50 条
  • [41] Real-time flight conflict detection and release based on Multi-Agent system
    Zhang, Yifan
    Zhang, Ming
    Yu, Jue
    [J]. 2017 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION (ESMA2017), VOLS 1-4, 2018, 108
  • [42] A real-time multi-agent system architecture for E-commerce applications
    DiPippo, LC
    Fay-Wolfe, V
    Nair, L
    Hodys, E
    Uvarov, O
    [J]. 5TH INTERNATIONAL SYMPOSIUM ON AUTONOMOUS DECENTRALIZED SYSTEMS, PROCEEDINGS, 2001, : 357 - 364
  • [43] An Intelligent Real-Time Process Quality Adjustment System Based on Multi-Agent
    Jiang, Xingyu
    Xu, Longzhen
    Wang, Shijie
    Zhang, Xinmin
    [J]. 2013 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND MANAGEMENT SCIENCE (ICIEMS 2013), 2013, : 393 - 398
  • [44] Islanding of a Microgrid Using a Distributed Multi-agent Control System
    Al Jajeh, Mohamad Fares
    Ali, Syed Qaseem
    Joos, Geza
    Novickij, Ilja
    [J]. 2019 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2019, : 6286 - 6293
  • [45] Graphical and scalable multi-agent simulator for real-time pricing in electric power grid
    Miura, Masashi
    Tokunaga, Yuta
    Sakurama, Kazunori
    [J]. ARTIFICIAL LIFE AND ROBOTICS, 2016, 21 (02) : 181 - 187
  • [46] Distributed real-time control of railway crossings using multi-agent technology
    El-Kebbe, Dania A.
    Goetz, Marcelo
    [J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 2006, : 768 - +
  • [47] How to build real-time Multi-Agent Systems using anytime techniques
    Duvallet, C
    Sadeg, B
    Cardon, A
    [J]. COMPUTERS AND THEIR APPLICATIONS, 2000, : 326 - 329
  • [48] Multi-agent system for the operation of an integrated microgrid
    Logenthiran, Thillainathan
    Srinivasan, Dipti
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2012, 4 (01)
  • [49] Distributed Real-Time Power Management in Microgrids Using Multi-Agent Control with Provisions for Fault-Tolerance
    Victorio, Marcos Eduardo Cruz
    Kazemtabrizi, Behzad
    Shahbazi, Mahmoud
    [J]. 2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2020, : 108 - 113
  • [50] Communication Latency in Multi-agent System for Microgrid
    Singh, Niharika
    Elamvazuthi, I
    Nallagownden, P.
    Ramasamy, G.
    Jangra, Ajay
    [J]. 2019 17TH IEEE STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT (SCORED), 2019, : 300 - 305