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Development Of A Smart Power Lab For Advanced Power Electronic Research, Joseph Lentz
Development Of A Smart Power Lab For Advanced Power Electronic Research, Joseph Lentz
Theses and Dissertations
In the pursuit of enhancing power systems efficiency, reliability, and sustainability, the establishmentof advanced research laboratories plays a pivotal role. This thesis dives into the development and integration of a cutting-edge power laboratory aimed at fostering innovation across three key domains: Electromagnetic Interference (EMI) analysis, Microgrid studies, and Energy Storage exploration. The first section focuses on the creation of an EMI laboratory tailored for the comprehensive evaluation of both radiated and conducted emissions. EMI poses significant challenges in modern electronic systems, necessitating meticulous analysis and mitigation strategies. By meticulously designing and equipping an EMI lab, researchers can gain insights into …
Growth And Studies Of Novel Quantum Materials, Niloufar Yavarishad
Growth And Studies Of Novel Quantum Materials, Niloufar Yavarishad
Theses and Dissertations
By harnessing the extraordinary properties of quantum materials, researchers are not just conducting experiments but shaping the future of technology. Quantum materials enable the development of smaller, faster, and more efficient electronic components, potentially surpassing the physical limits of silicon-based devices. This dissertation will delve into quantum materials' electrical, optical, and thermal characteristics, specifically focusing on cadmium arsenide (Cd3As2) crystalline platelets. This topological semimetal, which is a three-dimensional analog of graphene, has potential in applications such as infrared light detection and thermoelectricity. The study also explores the possible uses of a heterojunction formed by combining bismuth selenide (Bi2Se3), a topological …
Enhancing Interactions Among Dipole Excitations Using Surface Plasmon Polaritons: Quantum Entanglement And Classical Interactions, Jay Berres
Theses and Dissertations
The interaction of light with matter at the nano-scale continues to be an important research area for the application of nano-optical devices in wide ranging areas such as biosensing, light harnessing, and optical communications, to name a few. An important aspect of this is the interaction among dipole excitations (which includes classical dipole emitters, and dipole approximations of atoms, molecules, and other quantum objects), mediated by the device medium where they are located. Since the dimensions of these devices, by design, are at the nano-scale, the size of the dipole-dipole interaction space is much less than the wavelength of light …
Study Of Accidental Sliding-Mode Control, April Mary Miller
Study Of Accidental Sliding-Mode Control, April Mary Miller
Theses and Dissertations
The objective of this paper is to examine the Quanser SRV-02 motor servo for the presence of an accidental sliding mode. The SRV-02 is used by undergraduate students to learn basic concepts in controls engineering and will display unexpected sliding mode behavior when its in the “out of box” configuration. To gain a strong background understanding in characteristics of sliding mode, a review of literature on sliding-mode control and sliding mode behavior is completed. Next, a theoretical analysis of the SRV-02 motor servo during the sliding mode is developed. An effort is made to find a Lyapunov function that proves …
Use Of Digital Twins To Mitigate Communication Failures In Microgrids, Andrew Eggebeen
Use Of Digital Twins To Mitigate Communication Failures In Microgrids, Andrew Eggebeen
Theses and Dissertations
This work investigates digital twin (DT) applications for electric power system (EPS) resilience. A novel DT architecture is proposed consisting of a physical twin, a virtual twin, an intelligent agent, and data communications. Requirements for the virtual twin are identified. Guidelines are provided for generating, capturing, and storing data to train the intelligent agent. The relationship between the DT development process and an existing controller hardware-in-the-loop (CHIL) process is discussed. To demonstrate the proposed DT architecture and development process, a DT for a battery energy storage system (BESS) is created based on the simulation of an industrial nanogrid. The creation …
A Design Strategy To Improve Machine Learning Resiliency Of Physically Unclonable Functions Using Modulus Process, Yuqiu Jiang
A Design Strategy To Improve Machine Learning Resiliency Of Physically Unclonable Functions Using Modulus Process, Yuqiu Jiang
Theses and Dissertations
Physically unclonable functions (PUFs) are hardware security primitives that utilize non-reproducible manufacturing variations to provide device-specific challenge-response pairs (CRPs). Such primitives are desirable for applications such as communication and intellectual property protection. PUFs have been gaining considerable interest from both the academic and industrial communities because of their simplicity and stability. However, many recent studies have exposed PUFs to machine-learning (ML) modeling attacks. To improve the resilience of a system to general ML attacks instead of a specific ML technique, a common solution is to improve the complexity of the system. Structures, such as XOR-PUFs, can significantly increase the nonlinearity …
Ultra Fast Dc Switch, Ian A. Buck
Ultra Fast Dc Switch, Ian A. Buck
Theses and Dissertations
With advancements in power electronics, DC power systems are a strong contender forfuture power system and shipboard application studies. However, to ensure proper DC power systems, protection engineers must develop different DC protection schemes to maintain proper system protection levels. The critical issue behind developing DC protection devices is that the signal never crosses zero naturally, as in AC circuit breakers and AC disconnect switches. There is also a necessity for galvanic isolation in the DC protection system. A method developed is pairing a mechanical commercial-off-the-shelf vacuum interrupter, a Thomson coil actuator, and a current commutating drive circuit (CCDC). The …
Novel Non-Invasive Detection Of Thin Film Biofilm And Classification Of Deposits Using Machine Learning, Sachin Davis
Novel Non-Invasive Detection Of Thin Film Biofilm And Classification Of Deposits Using Machine Learning, Sachin Davis
Theses and Dissertations
Clean, safe, readily available water is vital for public health, irrespective of whether it is used for drinking, domestic use, food production, or recreational purposes. Globally, around two billion people use feces-contaminated water sources, which poses a high risk to the safety of drinking water due to the high probability of water contamination. Microbial-influenced corrosion is a significant problem in several industries, including but not limited to wastewater treatment, drinking water distribution systems, food industries, power plants, paper industries, and chemical manufacturing facilities. The presence of microorganisms causes around 70% of the corrosion in gas transmission pipelines, and corrosion accounts …
Reliability Assessment Of Electric Power Systems With Smart Monitoring Using Monte Carlo Simulation, Chia Min Lee
Reliability Assessment Of Electric Power Systems With Smart Monitoring Using Monte Carlo Simulation, Chia Min Lee
Theses and Dissertations
This thesis proposes a Markov model that combines smart monitoring with electrical components to analyze overall power system reliability. The Markov model accounts for the reliability factors of smart monitoring such as failure rates, fault detection rates, and repair rates to demonstrate the effectiveness of smart monitoring in reducing component failures. The Markov absorbing probability values are derived and used in IEEE RTS 79 to evaluate the impact of integrating smart monitoring on power system reliability. Through Sequential Monte Carlo Simulation, power system reliability indices such as LOLP, EDNS and EENS are calculated. The test cases consist of three scenarios …
Characterization, Simulation, And Test Method For Image Artifacts Due To Phase Drift Of The Saw Filter In The Magnetic Resonance Receiver, Gabriel T. Jacobs
Characterization, Simulation, And Test Method For Image Artifacts Due To Phase Drift Of The Saw Filter In The Magnetic Resonance Receiver, Gabriel T. Jacobs
Theses and Dissertations
The receiver for a Magnetic Resonance (MR) scanner is responsible for capturing the precise frequency and phase of extremely low-power RF signals emanating from the human body; and consequentially must minimize unexpected phase drift in the received signal. One well-known source for temperature-dependent phase drift in RF electronics is the Surface Acoustic Wave (SAW) filter. In this work, the phase drift due to temperature changes in the SAW filter of an MR receiver was evaluated for its potential effects on image quality using several image quality metrics. A lab bench method was developed to playback MR images using typical lab-equipment …
Embedded Ultrasonic Inspection Of Liquid Filled Pressure Vessels, Trevor Wenzel
Embedded Ultrasonic Inspection Of Liquid Filled Pressure Vessels, Trevor Wenzel
Theses and Dissertations
Structural health monitoring and ultrasonic inspection techniques can be used to inspect a structure for degradation. There are several different approaches for doing this including the use of an embedded sensing system which uses elastic wave propagation through the structure. Previous work using this method has explored ultrasonic inspection of a simple, flat plate structure, however, structures often have more complex geometry, and the flat plate offers only a basic understanding of elastic wave propagation. Therefore, experimental approaches and results drive how these techniques can be used for ultrasonic inspection of complex vessels where challenges arise due to the potential …
A Distributed Control System For Microgrids With Wide Dynamic Response Components, Hadi Akbari Haghighat
A Distributed Control System For Microgrids With Wide Dynamic Response Components, Hadi Akbari Haghighat
Theses and Dissertations
Inverters play a vital part in microgrid operations and control, boosting system flexibility and efficiency. However, their limited physical inertia makes them vulnerable to network-induced oscillations. Research is primarily focused on addressing this by adding inertia to the inverter side. Earlier analysis of stand-alone microgrids utilized pure inverter-based systems with droop control for power sharing among units, and generators were responsible for voltage and frequency control. Inverter-based systems without communication latency have been studied. However, these studies don't provide a complete dynamic model of microgrids, especially for hybrid microgrids. In this study, a systematic approach is presented to model a …
Allocation And Compilation Methodology For Modular Power Electronic Equipment Metamodels, William J. Koebel
Allocation And Compilation Methodology For Modular Power Electronic Equipment Metamodels, William J. Koebel
Theses and Dissertations
With the ongoing electrification of Navy vessels motivated by increased power demands, evolving operating environments, and more stringent pollution policies, modular distribution networks have been proposed to introduce survivability, affordability, and resiliency into future ship designs. A virtual prototyping process (VPP) has been introduced to produce scalable metamodels for the Leading Edge Architecture for Prototyping Systems (LEAPS) database that enables development of modular distribution networks on the U.S. Navy’s Smart Ship System Design (S3D) design platform. This work proposes an allocation and compilation methodology for use in the VPP that modularizes enabling technologies for integration into a modular distribution network …
Cellulose Nanocrystal Dielectric Elastomers, David Frailey
Cellulose Nanocrystal Dielectric Elastomers, David Frailey
Theses and Dissertations
Optical devices, such as filters and sensors, have numerous advantages including compactness in size and immunity from electromagnetic interference. The fabrication of optical devices often requires precision and complicated processing, resulting in expensive and delicate components. Cellulose nanocrystals (CNCs) are biomaterials that can self-assemble into liquid crystals, similar to those used in electronic displays. This material can function as an optical grating by reflecting/transmitting circularly polarized light at certain wavelengths and viewing angles. Since gratings are building blocks of optical systems, like lasers and lidars, their fabrication at low costs will enable the further proliferation of optical technologies. Furthermore, if …
Applications Of Surface Discharge Modeling, Simulation And Testing To Electrical Insulation Systems, Skyler Schwartz
Applications Of Surface Discharge Modeling, Simulation And Testing To Electrical Insulation Systems, Skyler Schwartz
Theses and Dissertations
Advances in power electronics and the increasing demand for highly power dense power distributionsystems have increased the demands for electrical insulation systems. A critical challenge in insulation system design is the prevention and mitigation of partial discharge which drives premature aging and failure of electrical assets. This work applies and validates a recently proposed model for surface discharge applied to the case of a laminated bus bar. The results from the modeling and testing shows the traditional concept of creepage, while essential for preventing a flashover events provides little insight into surface discharge. The approach to characterize the laminated bus …
High Power, Medium Frequency, And Medium Voltage Transformer Design And Implementation, Ahmad El Shafei
High Power, Medium Frequency, And Medium Voltage Transformer Design And Implementation, Ahmad El Shafei
Theses and Dissertations
Many industrial applications that require high-power and high-voltage DC-DC conversion are emerging. Space-borne and off-shore wind farms, fleet fast electric vehicle charging stations, large data centers, and smart distribution systems are among the applications. Solid State Transformer (SST) is a promising concept for addressing these emerging applications. It replaces the traditional Low Frequency Transformer (LFT) while offering many advanced features such as VAR compensation, voltage regulation, fault isolation, and DC connectivity. Many technical challenges related to high voltage stress, efficiency, reliability, protection, and insulation must be addressed before the technology is ready for commercial deployment. Among the major challenges in …
Modeling And Validation Of Common-Mode Emission In Silicon Carbide Based Voltage Source Converters, Tianchen Li
Modeling And Validation Of Common-Mode Emission In Silicon Carbide Based Voltage Source Converters, Tianchen Li
Theses and Dissertations
Electromagnetic compatibility (EMC) issues have become one of the most difficult challenges in power converter designs. With the invention of wide bandgap (WBG) power semiconductors such as silicon carbide (SiC) and gallium nitride (GaN) power MOSFETs, the power converter designs are provided with the potential to be significantly more power dense than older generation converters using silicone IGBTs. However, the majority of spectral contents of the switching waveforms are moved from the very-low-frequency (VLF, 3 kHz to 30 kHz) range to low-frequency and up to the very-high-frequency (VHF, 30 MHz to 300 MHz) range. Moreover, due to the design traits …
Applications Of Machine Learning In Medical Prognosis Using Electronic Medical Records, Farnaz Hajiahmadifoomani
Applications Of Machine Learning In Medical Prognosis Using Electronic Medical Records, Farnaz Hajiahmadifoomani
Theses and Dissertations
Approximately 84 % of hospitals are adopting electronic medical records (EMR) In the United States. EMR is a vital resource to help clinicians diagnose the onset or predict the future condition of a specific disease. With machine learning advances, many research projects attempt to extract medically relevant and actionable data from massive EMR databases using machine learning algorithms. However, collecting patients' prognosis factors from Electronic EMR is challenging due to privacy, sensitivity, and confidentiality. In this study, we developed medical generative adversarial networks (GANs) to generate synthetic EMR prognosis factors using minimal information collected during routine care in specialized healthcare …
Nonreciprocal Electromagnetics Of Layered Media, Samaneh Pakniyat
Nonreciprocal Electromagnetics Of Layered Media, Samaneh Pakniyat
Theses and Dissertations
In plasmonic systems, interaction of light and surface plasmons leads to excitation of surface plasmon polaritons (SPPs) carrying energy on the surface. In an isotropic plasmonic system, the SPPs optical response is reciprocal, which means that the forward and backward surface waves have identical propagation behaviors and SPPs refract when they encounter a discontinuity on the surface. In order to excite SPPs resilient to the surface disorders, the system reciprocity needs to be broken by different techniques such as applying an external magnetic bias. In this case, the plasmonic system becomes a gyrotropic medium. Recently, it has been shown that …
Nonreciprocal Surface Waves On Gyrotropic Interfaces, Alexander Martin Holmes
Nonreciprocal Surface Waves On Gyrotropic Interfaces, Alexander Martin Holmes
Theses and Dissertations
In this dissertation, the properties of highly nonreciprocal (unidirectional) surface waves guided along the interface between free-space and various 2D and 3D gyrotropic continua are investigated using analytic, numerical, and experimental methods. From a classical electromagnetics perspective, nonreciprocity in the dispersion of surface wave modes supported by the interface is achieved by breaking both time-reversal and space-inversion symmetries in the collective response of the waveguide, which consists of the two interfaced materials. More recently, however, a connection to momentum space topology via the bulk-edge correspondence principle has been made for gyrotropic continua, providing additional insights into the underlying physics that …
Data-Driven Approaches For Cyber-Physical Attack And Defense In Modern Power Grids, Youqi Guo
Data-Driven Approaches For Cyber-Physical Attack And Defense In Modern Power Grids, Youqi Guo
Theses and Dissertations
With the tighter integration of advanced communication and computing technologies, electrical power system is being transformed to more complex, efficient and sustainable smart grid. Today, almost every sector of physical power system including generation, transmission, distribution and consumption has to be monitored, protected and controlled to interact and communicate with each other through cyber infrastructure. The use of information and communication technologies (ICTs) has not only enhanced the efficiency and reliability of smart grid, but also created new vulnerabilities if they are not accompanied by advisable security reinforcements. Various vulnerabilities that ICTs bring about may leave some sectors of the …
Age-Of-Information-Aware Load Frequency Control And Stability Analysis, Dan Jiao
Age-Of-Information-Aware Load Frequency Control And Stability Analysis, Dan Jiao
Theses and Dissertations
Nowadays, modern load frequency control (LFC) systems employ an open communication system, which causes information staleness inevitably to arise. This issue can degrade the regulation performance of LFC and even threaten stability. This thesis introduces age-of-information (AoI) into LFC to describe the information freshness at the control center. Unlike communication delay, AoI can provide real-time information state based on information update rate. In this thesis, a muti-area LFC-AoI model is built to evaluate the update rate effect on LFC performance. Then, an AoI-based stability criterion for discrete LFC systems is built. After that, the AoI margin is proposed and compared …
Stability Analysis And Parameters Design Of The Voltage Source Inverter With Lc Filter, Hongzhen Zhang
Stability Analysis And Parameters Design Of The Voltage Source Inverter With Lc Filter, Hongzhen Zhang
Theses and Dissertations
Voltage source inverters (VSI) are widely used in many applications. In this thesis, the stability of the LC-type single-phase off-grid inverter is investigated and the emphasis is focused on how to extend the effective damping region. The harmonics resonance is the main factor affecting the stability of the system. To deal with this problem, the stability of the system with passive damping is investigated. Aiming at the problem that passive damping methods introduce power loss, Active damping methods are proposed. Considering the system with traditional inductor current feedback active damping cannot be stable when resonance frequency is close to fs/6, …
Experimental Comparison Of Load Sharing Techniques For Fast Motion In Industrial Machines, Eike Marten Hillrichs
Experimental Comparison Of Load Sharing Techniques For Fast Motion In Industrial Machines, Eike Marten Hillrichs
Theses and Dissertations
Load sharing and synchronization techniques are essential for modern automation applications where single motor systems cannot meet the application requirements. Evenly sharing the load between multiple motors can increase the output of processes and reduce maintenance efforts due to uneven wear and tear. Rockwell Automation has developed two load sharing techniques for fast motion control applications. In this Thesis, the two load sharing techniques are experimentally compared regarding their ability to evenly share loads and control synchronized motions in a multi motor setup for fast motion. The techniques are compared using a setup with two motors coupled by a timing …
Compact Field Programmable Gate Array Based Physical Unclonable Functions Circuits, Yangpingqing Hu
Compact Field Programmable Gate Array Based Physical Unclonable Functions Circuits, Yangpingqing Hu
Theses and Dissertations
The Physical Unclonable Functions (PUFs) is a candidate to provide a secure solid root source for identification and authentication applications. It is precious for FPGA-based systems, as FPGA designs are vulnerable to IP thefts and cloning. Ideally, the PUFs should have strong random variations from one chip to another, and thus each PUF is unique and hard to replicate. Also, the PUFs should be stable over time so that the same challenge bits always yield the same result. Correspondingly, one of the major challenges for FPGA-based PUFs is the difficulty of avoiding systematic bias in the integrated circuits but also …
Potential Of Grid-Scale Pv And Storage Facilities To Participate In Capacity Markets, Nicholas Giovannetti
Potential Of Grid-Scale Pv And Storage Facilities To Participate In Capacity Markets, Nicholas Giovannetti
Theses and Dissertations
The recent FERC Order 841 has provided an opportunity for grid-scale PV and battery facilities to participate in the capacity market providing ancillary services. Order 841 combined with steadily decreasing PVand battery costs and increasing demand for renewable energy, gives high potential for a PV and battery facility to be economically viable. In this study, an analysis tool is developed as an auxiliary to the PV + Storage + Control + Grid (PSCG) simulation to estimate the megawatts (MW) of dispatchable capacity that can be reliably offered by a PV and storage facility. Limits are based on grid connection, power …
Model Predictive Control For Grid Scale Pv And Battery, Sahithi Chatradi
Model Predictive Control For Grid Scale Pv And Battery, Sahithi Chatradi
Theses and Dissertations
Model Predictive Control (MPC) is a control technique that uses prediction data to optimize costs over a given predictive horizon. There are many papers that use this technique to optimize cost in a substantially loaded microgrid, but these techniques are not feasible for utility-scale PV+Storage facility. In this study, MPC is used to optimize the cost for a utility-scale PV+Storage facility, by adding a factor of a possible curtailment. The thesis also presents the various factors that the MPC has in that utility size grid. These factors include line losses, net yield, and curtailment.
Advanced Analytics In Smart Manufacturing: Anomaly Detection Using Machine Learning Algorithms And Parallel Machine Scheduling Using A Genetic Algorithm, Meiling He
Theses and Dissertations
Industry 4.0 offers great opportunities to utilize advanced data processing tools by generating Big Data from a more connected and efficient data collection system. Making good use of data processing technologies, such as machine learning and optimization algorithms, will significantly contribute to better quality control, automation, and job scheduling in Smart Manufacturing. This research aims to develop a new machine learning algorithm for solving highly imbalanced data processing problems, implement both supervised and unsupervised machine learning auto-selection frameworks for detecting anomalies in smart manufacturing, and develop a genetic algorithm for optimizing job schedules on unrelated parallel machines. This research also …
Design, Control, And Development Of A Multilevel Converter Medium Voltage Ac To Low Voltage Dc For Fleet Electric Vehicle Charge Station, Garry Jean-Pierre
Design, Control, And Development Of A Multilevel Converter Medium Voltage Ac To Low Voltage Dc For Fleet Electric Vehicle Charge Station, Garry Jean-Pierre
Theses and Dissertations
There is a shift in the technology of vehicles from gas and diesel engines to electric vehicles(EVs). Approximately ten million EVs were available globally in 2020 and it is projected that number will reach 145 million by 2030. To power the increasing number of EVs, the number of EV charging stations is growing at a significant rate. In order to provide flexibility and longer driving ranges to customers, the trend is to install DC fast charging stations. These chargers demand high power at low voltage, which our existing electrical distribution system cannot accommodate without major upgrades. Currently, bulky transformers are …
Common-Mode Modeling Of Neutral Point Clamped Converter Based Dual Active Bridge, Ryan James Olson
Common-Mode Modeling Of Neutral Point Clamped Converter Based Dual Active Bridge, Ryan James Olson
Theses and Dissertations
Modern power converters designed with wide-bandgap semiconductors are known to generate substantial conducted electromagnetic interference as a side effect of high edge rate and high frequency switching. With the advancement in power electronic converters, the significant EMI challenges need to be addressed for distribution level power systems. The goal is to provide a computationally efficient method of EMI characterization for conducted emissions for this future generation of power distribution systems. The first step in making this possible is through creating an accurate EMI characterization platform for the neutral point clamped dual active bridge. In this thesis, a formalized common-mode modeling …