• DocumentCode
    2202578
  • Title

    An architecture of multi-agent system applied to fossil-fuel power unit

  • Author

    Masina, Satish ; Lee, Kwang Y. ; Garduno-Ramirez, Raul

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA
  • fYear
    2004
  • fDate
    10-10 June 2004
  • Firstpage
    1982
  • Abstract
    This paper proposes an architecture of a multi-agent system applied to a fossil fuel power unit (FFPU). An agent-based approach has been dealt in this paper for the entire control system applied to the plant, and simulations demonstrate the usefulness of this multi-agent approach. The model consists of a central agent (CA), set-point agent (SA), feedforward agent (FeFA), feedback agent (FeBA), limiter & scaling agent (LSA), and threat/emergency agent (TA). The communication protocols for the agents are defined in finite state machine theory, and Matlab/Simulink/Stateflow is used to simulate these communication protocols. The overall performance of this system is robust and adaptable. The CA is the key agent sending the message requests to different agents and monitoring their status for an efficient operation of the plant at different operating regions
  • Keywords
    decision making; feedback; feedforward; fossil fuels; fuzzy logic; genetic algorithms; mathematics computing; multi-agent systems; neural nets; power system control; power system simulation; protocols; thermal power stations; Matlab-Simulink-Stateflow; central agent; communication protocol; decision-making; feedback control; feedforward control; finite state machine theory; fossil-fuel power unit; fuzzy logic; genetic algorithm; limiter & scaling agent; multi-agent control system architecture; neural network; set-point agent; threat-emergency agent; Automata; Communication system control; Control system synthesis; Feedback; Fossil fuels; Mathematical model; Multiagent systems; Power system modeling; Protocols; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2004. IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-8465-2
  • Type

    conf

  • DOI
    10.1109/PES.2004.1373224
  • Filename
    1373224