• DocumentCode
    742314
  • Title

    Intelligent Energy Control Center for Distributed Generators Using Multi-Agent System

  • Author

    Manickavasagam, Krishnan

  • Author_Institution
    Gopalan Coll. of Eng. & Manage., Bangalore, India
  • Volume
    30
  • Issue
    5
  • fYear
    2015
  • Firstpage
    2442
  • Lastpage
    2449
  • Abstract
    This paper presents the modeling of intelligent energy control center (ECC) controlling distributed generators (DGs) using multi-agent system. Multi-agent system has been proposed to provide intelligent energy control and management in grids because of their benefits of extensibility, autonomy, reduced maintenance, etc. The multi-agent system constituting the smart grid and agents such as user agent, control agent, database agent, distributed energy resources (DER) agent work in collaboration to perform assigned tasks. The wind power generator connected with local load, the solar power connected with local load and the ECC controlled by fuzzy logic controller (FLC) are simulated in MATLAB/SIMULINK. The DER model is created in client and ECC is created in server. Communication between the server and the client is established using transmission control protocol/internet protocol (TCP/IP). The results indicate that the controlling of DER agent can be achieved both from server and client.
  • Keywords
    IP networks; distributed power generation; fuzzy control; intelligent control; multi-agent systems; power distribution control; power generation control; Internet protocol; control agent; database agent; distributed energy resources agent; distributed generator control; fuzzy logic control; intelligent energy control center; local load; multiagent system; transmission control protocol; user agent; wind power generator; Circuit breakers; Density estimation robust algorithm; Generators; Load modeling; Multi-agent systems; Power systems; Wind power generation; Distributed energy resources (DER) and transmission control protocol/internet protocol (TCP/IP); distributed generators (DGs); energy control center (ECC); fuzzy logic controller (FLC);
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2368592
  • Filename
    6969841