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Full-Text Articles in Power and Energy
Torque Vectoring To Maximize Straight-Line Efficiency In An All-Electric Vehicle With Independent Rear Motor Control, William Blake Brown
Torque Vectoring To Maximize Straight-Line Efficiency In An All-Electric Vehicle With Independent Rear Motor Control, William Blake Brown
Theses and Dissertations
BEVs are a critical pathway towards achieving energy independence and meeting greenhouse and pollutant gas reduction goals in the current and future transportation sector [1]. Automotive manufacturers are increasingly investing in the refinement of electric vehicles as they are becoming an increasingly popular response to the global need for reduced transportation emissions. Therefore, there is a desire to extract the most fuel economy from a vehicle as possible. Some areas that manufacturers spend much effort on include minimizing the vehicle’s mass, body drag coefficient, and drag within the powertrain. When these values are defined or unchangeable, interest is driven to …
An Optimization Approach Based On The Interior-Point Methodology For The Tertiary Control Of Modernized Microgrids, Isaiah D. Woodruff
An Optimization Approach Based On The Interior-Point Methodology For The Tertiary Control Of Modernized Microgrids, Isaiah D. Woodruff
Honors College Theses
With the rise in popularity of the modernized microgrids (MMGs), the addition of a controller to maximize economic efficiency while considering environmental impact is crucial. Tertiary control is at the highest control level, considering economic concerns related to the optimal operation of the microgrid and using a sampling time from minutes to hours; tertiary controls manage the flow of power between the microgrid and the connected grid. In MMGs' tertiary controls, the use of optimization algorithms to minimize an objective function with equality and inequality constraints allows for powerful control over the system. In this paper, the interior-point algorithm is …
Optimal Power Flow Control Of Networked Dc Microgrids, Eddy H. Trinklein
Optimal Power Flow Control Of Networked Dc Microgrids, Eddy H. Trinklein
Dissertations, Master's Theses and Master's Reports
The US military is moving toward the electrification of many weapon systems and platforms. Advanced weapon systems such as high energy radar, electro-magnetic kinetic weapons and directed energy pose significant integration challenges due to their pulsed power electrical load profile. Additionally, the weapons platforms, including ships, aircraft, and vehicles can be studied as a mobile microgrids with multiple generation sources, loads, and energy storage. There is also a desire to extend the mission profile and capabilities of these systems. Common goals are to increase fuel efficiency, maintaining system stability, and reduce energy storage size as typically required to enable pulsed …
Minimum Time Control Of Paralleled Boost Converters, Shishir Patel
Minimum Time Control Of Paralleled Boost Converters, Shishir Patel
Dissertations, Master's Theses and Master's Reports
Demand for electrification is booming in both, traditional and upcoming generations of technological advancements. One of the constituent blocks of these electrified systems is Power conversion. Power conversion systems are often constructed by paralleling multiple power converter blocks for high performance and reliability of overall system. An advanced control technique is developed with an aim to optimize system states of heterogeneous power converters within minimum time while maintaining feasible stress level on individual power converter blocks. Practical implementation of real-time controller and performance improvement strategies are addressed. Experimental results validating high performance control scheme, and sensitivity analysis of system states …
Fully Decentralized Multi-Agent System For Optimal Microgrid Control, Ricardo De Azevedo
Fully Decentralized Multi-Agent System For Optimal Microgrid Control, Ricardo De Azevedo
FIU Electronic Theses and Dissertations
In preparation for the influx of renewable energy sources that will be added to the electrical system, flexible and adaptable control schemes are necessary to accommodate the changing infrastructure. Microgrids have been gaining much attention as the main solution to the challenges of distributed and intermittent generation, but due to their low inertia, they need fast-acting control systems in order to maintain stability. Multi-Agent Systems have been proposed as dynamic control and communication frameworks. Decentralized arrangements of agents can provide resiliency and the much-desired “plug and play” behavior. This thesis describes a control system that implements droop control and the …