{"id":{"repo_id":"baylor","oai_identifier":"oai:baylor-ir.tdl.org:2104/8901"},"canonical_url":"https://search.dev.ndltd.org/etd/baylor/oai:baylor-ir.tdl.org:2104/8901","repository":{"repo_id":"baylor","name":"Baylor University","base_url":"https://baylor-ir.tdl.org/server/oai/request"},"display":{"title":"Implementation of a Multi-Agent System in Java Agent Development Framework for a large-scale fossil-fuel electrical power unit control.","abstract":"With technology and a larger-than-ever population, the society demand for energy has achieved records in the last few years. Currently, large-scale fossil fuel power plants, ranging in the hundreds of MW's, produce most of the power in the United States and must do efficiently with more added regulation and more in the short term future. The control for these large-scale power plants can be complex but must still address several different operating objectives. Implementing advanced control for a large-scale power plant targeting multiple objectives can be computationally intensive as well as difficult when attempted in a centralized control configuration. In order for this control to be more flexible, adaptive and robust, it needs to be coordinated in distributed environments. The method presented in this thesis involves Multi-Agent System (MAS), which addresses the challenges of computing optimal multi-objective control using Java Agent Development (JADE) Framework, a much more communication-efficient, network-oriented environment.","abstract_html":"With technology and a larger-than-ever population, the society demand for energy has achieved records in the last few years. Currently, large-scale fossil fuel power plants, ranging in the hundreds of MW's, produce most of the power in the United States and must do efficiently with more added regulation and more in the short term future. The control for these large-scale power plants can be complex but must still address several different operating objectives. Implementing advanced control for a large-scale power plant targeting multiple objectives can be computationally intensive as well as difficult when attempted in a centralized control configuration. In order for this control to be more flexible, adaptive and robust, it needs to be coordinated in distributed environments. The method presented in this thesis involves Multi-Agent System (MAS), which addresses the challenges of computing optimal multi-objective control using Java Agent Development (JADE) Framework, a much more communication-efficient, network-oriented environment.","abstract_has_math":false,"creators":["Estrada, Diego F."],"institution":"Baylor University.","degree_name":"M.S.E.C.E.","degree_level":"Masters","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Lee, Kwang Y."],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-08","date_published":"2013-08","updated_at":"2026-07-24T01:07:49Z","subjects":["Power plant control.","Distributed coordinated control.","Java Agent Development Framework.","Multi-agent systems."],"languages":["en"],"rights":["Baylor University works 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. 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Currently, large-scale fossil fuel power plants, ranging in the hundreds of MW's, produce most of the power in the United States and must do efficiently with more added regulation and more in the short term future. The control for these large-scale power plants can be complex but must still address several different operating objectives. Implementing advanced control for a large-scale power plant targeting multiple objectives can be computationally intensive as well as difficult when attempted in a centralized control configuration. In order for this control to be more flexible, adaptive and robust, it needs to be coordinated in distributed environments. 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