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dc.contributor.advisorLee, Kwang Yun, 1942-
dc.contributor.authorWilliams, Craig S. (Craig Stevens)
dc.date.accessioned2011-12-19T20:13:20Z
dc.date.available2011-12-19T20:13:20Z
dc.date.copyright2011-12
dc.date.issued2011-12-19
dc.identifier.urihttp://hdl.handle.net/2104/8290
dc.description.abstractThe 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.en_US
dc.language.isoen_USen_US
dc.publisheren
dc.rightsBaylor University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact librarywebmaster@baylor.edu for inquiries about permission.en_US
dc.subjectPower plant model identification.en_US
dc.subjectPower plant control.en_US
dc.subjectMulti-objective optimization.en_US
dc.subjectReference governor.en_US
dc.subjectMulti-agent systems.en_US
dc.titleDesign and implementation of a multi-agent optimized control system for a large-scale fossil-fuel electrical power unit.en_US
dc.typeThesisen_US
dc.description.degreeM.S.E.C.E.en_US
dc.rights.accessrightsWorldwide access.en_US
dc.rights.accessrightsAccess changed 7/1/13.
dc.contributor.departmentEngineering.en_US
dc.contributor.schoolsBaylor University. Dept. of Electrical and Computer Engineering.en_US


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