Title :
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
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;
Conference_Titel :
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN :
0-7803-7989-6
DOI :
10.1109/PES.2003.1267369
