Browsing by Subject "Power plant control."
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Item Design and implementation of a multi-agent optimized control system for a large-scale fossil-fuel electrical power unit.(2011-12-19) Williams, Craig S. (Craig Stevens); Lee, Kwang Y.; Engineering.; Baylor University. Dept. of Electrical and Computer Engineering.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.Item Development and implementation of a multi-agent system for intelligent optimized power plant control.(2012-08-08) Head, Jason D.; Lee, Kwang Y.; Engineering.; Baylor University. Dept. of Electrical and Computer Engineering.As the demand for electric power grows and regulations on power plant operation become stricter, the size, and therefore complexity, of new power plant units is increasing while the intricacies of the multiple simultaneous processes that take place to generate electricity require tighter control. In order to provide a solution to some of the associated operational challenges arising from this situation, control techniques have been developed to allow optimized power plant control while considering non-fixed operating goals. Each of these techniques is computationally intensive, requiring a distributed, parallel control framework to implement each technique simultaneously in distributed subsystem environments. For these reasons, previous research has studied multi-agent systems as a means to implement such a control system. Therefore, the goal of this thesis is to fully develop a multi-agent system to coordinate and implement these techniques to control a third order fossil fuel power plant model.Item Implementation of a Multi-Agent System in Java Agent Development Framework for a large-scale fossil-fuel electrical power unit control.(2014-01-28) Estrada, Diego F.; Lee, Kwang Y.; Electrical and Computer Engineering.; Baylor University. Dept. of Electrical and Computer Engineering.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.