Multi-agent framework for power systems simulation and monitoring

被引:0
|
作者
Prymek, M [1 ]
Horák, A [1 ]
机构
[1] Masaryk Univ, Fac Informat, Dept Informat Technol, Brno 60200, Czech Republic
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes an implementation of a communication framework for power systems simulation. The framework is based on the principles of the multi-agent systems. The framework is based on technologies which became de-facto standards in this scientific field - the communication protocols COR-BA (Common Object Request Broker Architecture) and KQML (Knowledge Query and Manipulation Language). The system itself economizes the open source implementation of the protocols. The whole system is dedicated to active simulation of the energy flow in a power system and its visualization. The system design takes into account possible future replacement of any particular agent with an on-line power equipment monitoring facility (ad-hoc sensors), which allows to monitor the whole power system in real time.
引用
收藏
页码:525 / 538
页数:14
相关论文
共 50 条
  • [1] Research on the multi-agent systems simulation with HLA framework
    Zhang, Yong
    Wang, Li
    [J]. ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 2354 - 2357
  • [2] A multi-agent simulation framework
    Guessoum, Z
    [J]. TRANSACTIONS OF THE SOCIETY FOR COMPUTER SIMULATION INTERNATIONAL, 2000, 17 (01): : 2 - 11
  • [3] Multi-agent Systems Society for Power and Energy Systems Simulation
    Santos, Gabriel
    Pinto, Tiago
    Vale, Zita
    [J]. MULTI-AGENT-BASED SIMULATION XIX, 2019, 11463 : 126 - 137
  • [4] Learning framework for multi-agent simulation of supply chain systems
    Jiang, Chengzhi
    Sheng, Zhaohan
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 2008, : 425 - 431
  • [5] PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
    Biagioni, David
    Zhang, Xiangyu
    Wald, Dylan
    Vaidhynathan, Deepthi
    Chintala, Rohit
    King, Jennifer
    Zamzam, Ahmed S.
    [J]. PROCEEDINGS OF THE 2022 THE THIRTEENTH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, E-ENERGY 2022, 2022, : 565 - 570
  • [6] An Observation Framework for Multi-Agent Systems
    Kesaniemi, Joonas
    Katasonov, Artem
    Terziyan, Vagan
    [J]. ICAS: 2009 FIFTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS, 2009, : 336 - 341
  • [7] Multi-agent framework for adaptive systems
    Ojo, AK
    Rahman, RM
    [J]. IC'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTERNET COMPUTING, VOLS 1 AND 2, 2003, : 437 - 441
  • [8] Multi-agent framework for distributed systems
    Deng, C
    Gang, YJ
    [J]. PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 22 - 25
  • [9] A framework for designing multi-agent systems
    Park, W
    Park, S
    Sugumaran, V
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2, 2001, 69 : 54 - 60
  • [10] ARPS: A Framework for Development, Simulation, Evaluation, and Deployment of Multi-Agent Systems
    Prado, Thiago Coelho
    Bauer, Michael
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (21):