A Multi-agent Approach to Smart Grid Energy Management

被引：0
|
作者：
Nagata, Takeshi [1 ]
Ueda, Yuji [1 ]
Utatani, Masahiro [2 ]
机构：
[1] Hiroshima Inst Technol, Dept Comp Sci, Hiroshima, Japan
[2] Kokusai Gakuin Univ, Dept Informat Design, Hiroshima, Japan
来源：
2012 CONFERENCE ON POWER & ENERGY - IPEC | 2012年
关键词：
smart grid; multi-agent; energy managent; OPERATION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, we propose a method of smart grid energy management. A smart grid is an energy system formed by the interconnection of small, modular generation units (micro-turbines, fuel cells, photovoltaic equipment, etc.), together with storage devices (flywheels, energy capacitors and batteries) and controllable loads over low voltage distribution systems. The target of this study is to develop an agent-based approach to smart grid energy management. In order to verify the performance of the proposed system, it applied to a simple model system with different conditions. From the simulation results, it can be seen the proposed multi-agent system could perform the smart grid management efficiently.
引用
下载
收藏
页码：327 / 331
页数：5
相关论文
共 50 条
  • [31] MASGriP - A Multi-Agent Smart Grid Simulation Platform
    Oliveira, Pedro
    Pinto, Tiago
    Morais, Hugo
    Vale, Zita
    2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
  • [32] Multi-Agent Systems' Asset for Smart Grid Applications
    Rohbogner, Gregor
    Hahnel, Ulf J. J.
    Benoit, Pascal
    Fey, Simon
    COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2013, 10 (04) : 1799 - 1822
  • [33] Distributed Multi-Agent Algorithm for Residential Energy Management in Smart Grids
    Mets, Kevin
    Strobbe, Matthias
    Verschueren, Tom
    Roelens, Thomas
    De Turck, Filip
    Develder, Chris
    2012 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (NOMS), 2012, : 435 - 443
  • [34] Multi-Agent System Architecture for Smart Home Energy Management and Optimization
    Asare-Bediako, B.
    Kling, W. L.
    Ribeiro, P. F.
    2013 4TH IEEE/PES INNOVATIVE SMART GRID TECHNOLOGIES EUROPE (ISGT EUROPE), 2013,
  • [35] Design and implementation of intelligent energy control for tariff management using multi-agent system in smart/micro grid
    Kumar, G. S. Satheesh
    Nagarajan, C.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2019, 31 (12):
  • [36] Intelligent Energy Management for Off-Grid Renewable Hybrid System Using Multi-Agent Approach
    Sami, Ben Slama
    IEEE ACCESS, 2020, 8 : 8681 - 8696
  • [37] Multi-agent deep reinforcement learning approach for EV charging scheduling in a smart grid
    Park, Keonwoo
    Moon, Ilkyeong
    APPLIED ENERGY, 2022, 328
  • [38] A multi-agent approach to distribution system fault section estimation in smart grid environment
    Costa, Guilherme B.
    Damiani, Juliano S.
    Marchesan, Gustavo
    Morais, Adriano P.
    Bretas, Arturo S.
    Cardoso Jr, Ghendy
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 204
  • [39] Multi-agent Autonomous Decision Making in Smart Micro-Grids' Energy Management: A Decentralized Approach
    Ghorbani, Sajad
    Rahmani, R.
    Unland, Rainer
    MULTIAGENT SYSTEM TECHNOLOGIES, MATES 2017, 2017, 10413 : 223 - 237
  • [40] A multi-agent approach to controlling a smart environment
    Cook, Diane J.
    Youngblood, Michael
    Das, Sajal K.
    DESIGNING SMART HOMES: ROLE OF ARTIFICIAL INTELLIGENCE, 2006, 4008 : 165 - 182
12345