Multiagent control system for a fossil-fuel power unit

Author

Chang, Jiang ; Lee, Kwang Y. ; Garduno-Ramirez, Raul

Author_Institution

Ind. Center, Shenzhen Polytech, China

Volume

3

fYear

2003

fDate

13-17 July 2003

Abstract

This paper proposes a multiagent control system (MACS) for a fossil-fuel power unit (FFPU). The MACS consists of fossil-fuel power unit agent (FFPUA), reference agent (RA), feedforward control agents (FFCAs), feedback control agents (FBCAs) and coordinator agent (COA). The reference agent decomposes the task of the MACS by multiobjective optimization. The FFCAs make decision using the neuro-fuzzy systems and the FBCAs make decision using the genetic algorithm-based fuzzy systems. The coordinator agent coordinates the agents in the MACS according to different operating conditions.

Keywords

decision making; fossil fuels; fuzzy control; fuzzy systems; genetic algorithms; intelligent control; multi-agent systems; neurocontrollers; power generation control; steam power stations; coordinator agents; feedback control agents; feedforward control agents; fossil fuel power unit agent; fossil-fuel power unit; genetic algorithm; multiagent control system; multiobjective optimization; neuro-fuzzy systems; reference agent; Adaptive control; Algorithm design and analysis; Control systems; Genetics; Intelligent agent; Intelligent control; Nonlinear control systems; Optimal control; Power generation; Robust control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2003, IEEE

Print_ISBN

0-7803-7989-6

Type

conf

DOI

10.1109/PES.2003.1267369

Filename

1267369