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
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