Intelligent Automatic Generation Control: Multi-agent Bayesian Networks Approach

被引：10
|
作者：
Bevrani, H. [1 ,2 ]
Daneshfar, F. [2 ]
Daneshmand, P. R. [2 ]
机构：
[1] Kumamoto Univ, Kumamoto 860, Japan
[2] Univ Kurdistan, Dept Elect & Comp Engn, Sanandaj, Iran
来源：
2010 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2010年
关键词：
AGC; Bayesian networks; Frequency deviation; Multi-agent system;
D O I：
10.1109/ISIC.2010.5612931
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new intelligent agent based control scheme, using Bayesian networks (BNs), to design automatic generation control (AGC) system in a multi-area power system is addressed. Model independency and flexibility in specifying the control objectives, make the proposed approach as an attractive solution for AGC design in a real-world power system. The proposed control scheme is tested in simulation on a three areas power system and shows desirable performance. The results are also compared with the multi-agent reinforcement learning based AGC design technique.
引用
收藏
页码：773 / 778
页数：6
相关论文
共 50 条
  • [1] An Approach to Multi-agent Interactive Control in an Intelligent Space
    Kim, Doojin
    Jeong, Kyung H.
    Lee, Beom H.
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2015, 13 (03) : 697 - 708
  • [2] An approach to multi-agent interactive control in an intelligent space
    Doojin Kim
    Kyung H. Jeong
    Beom H. Lee
    [J]. International Journal of Control, Automation and Systems, 2015, 13 : 697 - 708
  • [3] Automatic deployment and formation control of decentralized multi-agent networks
    Smith, Brian S.
    Egerstedt, Magnus
    Howard, Ayanna
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-9, 2008, : 134 - 139
  • [4] A multi-agent approach for intelligent traffic-light control
    Hirankitti, Visit
    Krohkaew, Jaturapith
    Hogger, Chris
    [J]. WORLD CONGRESS ON ENGINEERING 2007, VOLS 1 AND 2, 2007, : 116 - 121
  • [5] A MULTI-AGENT SYSTEM FOR INTELLIGENT BUILDING CONTROL Norm Approach
    Duangsuwan, Jarunee
    Liu, Kecheng
    [J]. ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2: AGENTS, 2010, : 22 - 29
  • [6] An intelligent multi-agent based improved approach for conventional and renewable power generation operation and control
    Garduno-Ramirez, Raul
    Borunda, Monica
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2017, 9 (01)
  • [7] RECONFIGURATION OF ELECTRIC NETWORKS WITH DISTRIBUTED GENERATION AND MULTI-AGENT CONTROL
    Fishov, Alexander G.
    Mukatov, Bekzhan B.
    [J]. BULLETIN OF THE TOMSK POLYTECHNIC UNIVERSITY-GEO ASSETS ENGINEERING, 2015, 326 (09): : 143 - 152
  • [8] Automatic generation of multi-agent system models
    Gonzalez Moreno, Juan Carlos
    Vazquez Lopez, Luis
    [J]. ACTAS DE LA III CONFERENCIA IBERICA DE SISTEMAS Y TECNOLOGIAS DE LA INFORMACION, VOL 2, 2008, : 733 - 744
  • [9] Automatic Generation of Persistent Formations for Multi-agent Networks Under Range Constraints
    Brian S. Smith
    Magnus Egerstedt
    Ayanna Howard
    [J]. Mobile Networks and Applications, 2009, 14 : 322 - 335
  • [10] Automatic Generation of Persistent Formations for Multi-agent Networks Under Range Constraints
    Smith, Brian S.
    Egerstedt, Magnus
    Howard, Ayanna
    [J]. MOBILE NETWORKS & APPLICATIONS, 2009, 14 (03): : 322 - 335
12345