• DocumentCode
    3390355
  • Title

    Multi-Agent Based Optimal Power Flow Solution

  • Author

    Leeton, Uthen ; Kulworawanichpong, Thanatchai

  • Author_Institution
    Power Syst. Res. Unit, Suranaree Univ. of Technol., Nakhon Ratchasima, Thailand
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper describes multi-agent based optimal power flow solution in which total production cost is used as the problem objective to be minimized. In this work, simulation of peer-to-peer device coordination has been developed using Java Agent Development (JADE) software package. JADE provides a FIPA-compliant agent platform and a package to develop multi-agent systems used in this paper. Six agent types are established. They are i) load agent ii) power generating plants agent, iii) transformer tap-setting agent iv) reactive power agent v) optimal load-flow agent and vi) management agent. In this paper each agent has been modeled as an intelligent agent, which joins to a container to form the multi agent system for solving optimal power flow problems. In this paper, the standard IEEE 6-bus test power system was employed. The results of this proposed system showed that the use of multi-agent systems enables possibility of applying optimal power flow in real-world applications.
  • Keywords
    IEEE standards; Java; load flow; multi-agent systems; power engineering computing; power system management; transformers; FIPA-compliant agent platform; JADE software package; Java agent development software package; management agent; multi-agent based optimal power flow solution; optimal load-flow agent; peer-to-peer device coordination; power generating plants agent; reactive power agent; standard IEEE 6-bus test power system; total production cost; transformer tap-setting agent; Containers; Generators; Java; Load flow; Multiagent systems; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307223
  • Filename
    6307223