a
School of Engineering & Computer Science Link
Baylor University Link
ECS Link
Baylor > ECS > Engineering > Home > Fall 2011 > Williams

"Design and Implementation of a Multi-Agent Optimized Control System for a Large-Scale Fossil-Fuel Electrical Power Unit "

Craig S. Williams

Graduate Student
Department of Electrical & Computer Engineering
Baylor University
Monday, August 15, 2011, Room 312. Ro]gers Bldg

 
Craig Williams

 


Abstract

The problem facing the United Sates electric power industry today can be attributed to society’s ever increasing demand for energy, environmental concerns with reliance on fossil fuels, and uncertainty about an aging infrastructure’s ability to cope with increasing demand for energy. Existing control systems for power plants are rigid and lack the capability to provide optimal operation with increasing amounts of requirements placed on the power plants, prompting the need for a more adaptive, robust control system.

      The object of this thesis aims to develop and present an optimized control system based on the concept of Multi-Agent Systems (MASs), which have been applied to other complex problems in the power industry. This thesis applies a MAS distributed control methodology to a large-scale power plant optimized control system, improving the overall flexibility, autonomy, and robustness of the control system, which in turn increases the efficiency and operation of the power plant.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


1
                 
Copyright © Baylor® University. All rights reserved. Trademark/DMCA information. Privacy statement.
Baylor University  Waco, Texas 76798  1-800-BAYLOR-U
Send Questions or Comments to ECSWebmaster@baylor.edu.