Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in challenging applications. In the online planning approach, the agent makes a decision in the current state by performing a limited forward search over possible futures...
Cognitive Radio Networks (CRNs) enable opportunistic access to the licensed channel resources by allowing unlicensed users to exploit vacant channel opportunities. One effective technique through which unlicensed users, often referred to as Secondary Users (SUs), acquire whether a channel is vacant is cooperative spectrum sensing. Despite its effectiveness in enabling...
Over the last 20 years, there has been rapid growth in the amount of installed wind power in the Pacific Northwest, specifically in the Columbia River Gorge. The variable and non-dispatchable nature of this resource requires that it be balanced in some form by other sources on the grid. In...
Disaster response robots need to be simultaneously able to survive extreme environment and complete the mission efficiently and robustly. One of the determinants is the performance of the actuators in each joint, which drive the robot to the desired motion accurately. In robotics society, people usually build their robots directly...
This thesis compares the implementation of additive manufactured suspension uprights against subtractive manufactured suspension uprights from concept generation, design, and validation through simulation. Additive manufactured suspension uprights were designed for Global Formula Racing’s 2023 electric vehicle. Utilizing Siemens NX, Nastran, Fusion 360, and Ansys Workbench both subtractive and additive manufactured...
Radio frequency (RF) sensing arises as a promising option for enabling the internet of things (IoT) applications that transform our life into a world of smart homes, smart cities, and smart industries. The innovation of IoT reveals the benefits of RF sensing across cost, pervasiveness, unobtrusiveness, and privacy. However, challenges...
This thesis concerns the development of a direct torque control strategy using a sliding mode control approach to optimize the power output of an oscillating water column (OWC) wave energy converter (WEC). The OWC WEC is a device that has a submerged vertical tail tube open at both ends, which...
The United States depends on the electrical grid infrastructure for nearly every facet of its operation. Understanding how inclement weather affects the reliability of the grid and what the U.S. is doing to ensure its resiliency will be a key step moving forward into the 21st century as global climate...
The electrical grid of the Western Interconnection is vulnerable to earthquake damage, especially large-magnitude megathrust events, due to the unique seismic profile of the region. However, the size of the Western Interconnection makes it difficult to model seismic failure in electrical substations to the level of detail necessary to improve...
This thesis is the combination of two research publications working toward a unified strategy in which to represent complex engineered systems as complex networks. Current engineered system modeling techniques segment large complex models into multiple groups to be simulated independently. These methods restrict the evaluations of such complex systems as...
Modern variable speed machine drive (VSMD) systems are used for a variety of purposes including generation, propulsion, pumps and compressors. They employ high switching frequency power electronics to drive the electric machine. The machine is subject to large voltage overshoot if long power cables, are used, called Reflected Wave Phenomena...
Ocean Wave Energy Converters (WECs) are of interest around the globe as global economies begin to shift their interest to renewable forms of energy. However, the devices are costly to construct–a quality that can be relieved through proper modeling, control, and implementation. This paper presents the numerical and hybrid simulation...
The purpose of this project was to provide a tool for the Aerial Team of the Robotics Club with an application to control a UAV for automated missions - the Aerial Team's focus is automation of UAVs. This application lays out the foundations to allow future members of the Aerial...
The electrical output of solar panels is reduced when dust covers the panels, but the air movement produced by a flying drone can be used to remove this debris. This research project will study the effectiveness of a quadcopter drone in dusting a solar panel. A solar panel was covered...
_____________________________________________________________________
EduardoCotilla-Sanchez, Committee Member, representing the School of Electrical and
Computer
This design of a Grid Friendly Electric Hot Water Heater Thermostat was built for the Electrical and Computer Engineering Senior Design course, ECE44x. The design enables hot water heaters to respond to imbalances in the grid seen through deviations from standard grid frequency by varying the power output to the...
_____________________________________________________________________
J. EduardoCotilla-Sanchez, Committee Member, representing Electrical and
Computer Engineering
Hydropower is the one of the oldest renewable energy technologies and is wrongly thought of today as having little room to grow. The opportunity for new hydropower capacity is immense through both technology advancement and run-of-river new stream reach projects. Despite the age of hydropower, a divide in opinion is...
Hyperthermia is a cancer therapy that relies on the local heating of a cancerous tumor to kill cancer cells and disrupt the future growth of the tumor. While hyperthermia is capable of killing tumors separately, physicians often combine it with other treatment methods, typically radiation therapy, for its synergistic effects...
Electric grid is a critical cyber-physical infrastructure that serves as lifeline for modern society. With the increasing trend of cyber-attacks, electric grid security has become a significant concern. Electric grid operators are working hard to reduce the risk of these attacks towards the system. Having security metrics for monitoring the...
A power inverter, or inverter, is an electronic device or circuitry that converts direct currents (DC) to alternating currents (AC) in the power electronics family. A three-phase inverter converts DC current to three-phase AC current. Inverters, especially three-phase inverters, have been widely used in many fields including renewable energy applications...
The primary objective of a grid is to maintain a balance between generation and load. If these quantities are not in balance with each other, severe damages such as voltage fluctuations, low power quality, power outages or even cascaded blackouts may occur. Hence one of the primary factors that holds...
The Pacific Northwest is part of the "Ring of Fire," which is well-known for heavy seismic activity. Numerous active faults in the area have encouraged electric grid managers in the region to more deeply contemplate and proactively intervene to support grid resilience. This research introduces Monte Carlo (MC) based power...
This thesis focuses on the fundamental behavior of CLT floor-to-wall connections during a fire.
Cross-laminated timber (CLT) panelized structures rely on floor-to-wall connections for the load path and stability of the structure. Additionally, the fire performance of these connections is critical to prevent horizontal or vertical fire spread within these...
In this work, a fully automated approach to synthesis Metal-Organic Frameworks is presented. We use graph to represent the structure of Metal-organic Frameworks and use graph grammars which are backbone rules and functional group rules to generate metal-organic framework. For a given parameter value of the user defined metal-organic framework,...
There has been tremendous growth in using data analytic and machine learning algorithms to make critical decisions, such as in the national power grid, healthcare operations, and autonomous vehicles. Employing data analytic for decision-making allows cyber attackers to manipulate the decisions of these algorithms through data falsification. Hence, the trustworthiness...
The uncontrolled growth in domains such as surveillance systems, health care services, and finance produce a large amount of data and contain potentially sensitive data that can become public if they are not appropriately sanitized.
Motivated by this issue, we introduce a privacy filter (PF), a novel non-negative matrix factorization...
As the sources of our electricity shift from centralized and carbon emitting, to a portfolio of distributed, clean-energy sources, the wave energy converter (WEC) has become a topic of exploration and development for providing coastal communities electric power. Part of this trend has included an effort to create open source...
Methods that are applied to smooth distribution functions are useful in many applications. Areas of application include economics, financial markets and survival analysis. The empirical cumulative distribution function (ecdf) is unbiased and its asymptotic distribution is normal. However, the jump discontinuities of $\frac{1}{n}$ are undesirable in estimation because it makes...
As the power system grows larger and more complex, real-time monitoring and control become very significant in order to achieve reliable operation of the power system. Before any security assessment can be made or control actions are taken, the reliable estimate of the existing state of the system must be...
We consider multiple Compressive Sensing (CS) problems wherein the supports of signal vectors of CS problems are restricted to satisfy a collection of joint logical constraints, which we refer to as coupling constraints. We consider a case where the coupling constraints are encoded in a graph and present a sequential...
Ocean waves provide a promising source of renewable energy for the North American electric grid. However, ideal control of wave energy converters (WECs) requires perfect forecasting of future wave conditions, and waves can be unpredictable. This paper presents a comparison of three different prediction methods and analyzes their performance in...
In this thesis, we introduce alignment-based algorithms for improving the performance of reinforcement learning solutions for problems where the reward signal cannot be collapsed into a single number. Many real world problems require an agent to balance performance, longevity, and safety, and do so across different timelines. The key to...
Using repositories to store product design information can provide additional and extensive design knowledge to the global design community. Using repository data in the design of new products can be especially impactful for DfX design objectives, such as product sustainability, about which many engineering designers have limited knowledge. Furthermore, repositories...
Energy security is a vital but often unmet requirement for community resiliency. Electricity availability is essential to the functioning of the economy, individual households, and the collective essential services that provide health, safety, and the basic human needs to sustain life. Coastal communities in Oregon face special vulnerability because they...
Despite its promise as a potentially beneficial new source of energy, the ocean-based renewable energy industry is still in its infancy, and like any new idea there are many unknowns with the potential to affect both people and our natural environments. A permit for marine renewable energy (MRE) must cut...
Model Predictive Control (MPC) has previously been investigated on ocean waveenergy converters (WEC) to improve the amount of power captured, while respectingthe system constraints. Previous research done in the same area, focused onbuilding a control scheme by using the knowledge of the past & current statesof the system and predicting...
Geomagnetically Induced Currents (GICs) are quasi-DC signals that are induced in the ground during geomagnetic disturbances (GMDs) and pose a large threat to power grid infrastructure. The power industry currently attempts to mitigate GIC effects by utilizing 1-D ground electrical conductivity based electric field predictions, though conductivity can vary in...
Vacuum arc remelting (VAR) is a secondary melting process for exotic alloys. The main purpose of this process is to increase the input ingot’s physical and chemical homogeneity. This is accomplished through the application of a high current that melts the material through the emergence of electrical arcs that induce...
The National Conference of State Legislatures NCSL declares that 29 states have
been active in adopting and increasing renewable portfolio standards. Present
renewable portfolio standards require utilities to increase integration of renewable
energy sources such as photovoltaic (PV). The increased penetration of PV systems
is expected to destabilize the power...
Due to the popularity of electronically controlled loads and the widespread use of alternative energy sources such as wind turbines and solar cells, the power quality at the distribution level must be carefully monitored. One of the many different means to monitor power quality is through frequency measurements. Nonlinearities cause...
Synchrophasor technology has gained great momentum with the widely adopted concept of smart grids in power systems at transmission and generation level. This has led to an improved state estimation of a power system with the advent of Phasor Measurement Units (PMU). PMUs contribute in providing real-time information about the...
Infrastructure systems are a critical component supporting today's modern society. From
power grids to traffic networks, we rely on these systems to perform as intended, despite
the various sources of uncertainty present in their operation. Designing for system
robustness can help mitigate the impact of failures caused by unexpected events....
Routing from a single source node to multiple destination nodes using node disjoint paths (NDP) has many important applications in parallel systems. For example, if a source node wants to send distinct messages to distinct destination nodes, then the one-to-many NDP routing is useful.
Unlike parallel systems with shared-memory, each...
In wireless sensor networks (WSNs) nodes are battery powered. Therefore, the available
energy resources of sensor nodes should be managed efficiently in order to increase
the network lifetime. As a result, researchers have proposed routing schemes in order to
maximize network lifetime. Even though these schemes increase the network lifetime,...
Quantum mechanics is increasingly being taught with a spins-first approach where instructors use simple spin systems to introduce the principles of quantum mechanics rather than systems with wavefunctions. One of the defining characteristics of a spins-first approach is that systems studied have discrete bases, whereas systems with wavefunctions have continuous...
Wind power forecasting provides valuable insights for demand response, energy market operation, and plant control optimization. Probabilistic approaches—which capture uncertainty in these complex systems by representing predictions as probability distributions—represent a growing area of research in wind energy science. However, their applications for wind-based hybrid systems, particularly those focused on...
Integrated Distributed Electric Augmented Lift (IDEAL) applies upper-surface blowing in a novel way using an array of electric ducted fans (EDFs) to achieve electric short take-off and landing to meet the growing need for urban air transportation. Additional research on the use of vortex generators (VGs) to reduce flow separation...
The Cone Penetration Test (CPT) has been widely-adopted for rapid, cost-effective exploration of the subsurface and reduction in the effort associated with drilling, sampling, and laboratory testing of soil. The adoption of the CPT has stemmed in part to the correlation of measurements to preliminary soil classification, stress history, drained...
Multiple wave energy converter (WEC) archetypes exist with varying power take-off (PTO) designs in the attempt to maximize ocean energy harnessed and converted into useful energy. The pendulum PTO is popular for its simple, yet robust functionality due to its internally located components and simple operation. Additionally, this PTO does...
Critical Infrastructures (CIs) such as energy, water supply, telecommunications, and transportation are highly vulnerable to cascading failures due to their interdependent operations. A resilient network is crucial to withstand the impact of functionality loss in disruptive events. This research evaluates network expansion as a proactive resilience strategy in which new...
Hydrokinetic turbines are an emerging form of renewable energy generation. Although similar to wind turbines, hydrokinetic systems incur extra costs and face constraints in available footprint. SiC power semiconductors within the required power electronics improve the performance. With higher switching afforded by SiC devices, the footprint of passive components for...
This work addresses the application of Nonlinear Model Predictive Control (NMPC) to a class of ocean wave energy conversion systems in which the cost functional is not in a standard quadratic form, and the WEC model includes the nonlinear effects, such as the hydrodynamic viscous drag. The NMPC implementation is...
Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them.
Further, there have been concerns about the possibility of bias and discrimination in predictive applications.
In order to address these issues, we propose an...
Enabling accurate and automated identification of wireless devices is critical for ensuring secure and authenticated data communication in large-scale networks such as IoT networks. In the aim of devising practical identification techniques that are immune to spoofing, hardware-driven RF fingerprinting using deep neural networks, which leverages the inevitable presence of...
Converting energy from ocean waves is a challenging area for control theory application because of the nonlinear dynamics in various time scales. Generally, wave energy converter (WEC) control is applied in order to maximize power absorption, in the most common wave conditions, and subject to the devices’ physical constraints. Commonly,...
Modern product design drives the boundaries of innovation by encompassing complex Design-for-X objectives, and the inclusion of multidimensional stakeholders. This growing complexity in product design has left design teams unequipped, as classical design theory is bounded by designer experience, expertise, and cognition. One novel approach to tackling product complexity is...
We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
An accurate state estimation plays an essential role in power system operation and planning in energy management systems. However, existing multi-area state estimation researches have not focused on the importance of system clustering. The clustering mechanism divides or partitions a system according to user-defined criteria. Few published research works have...
Accurate information of power network parameters is essential for performing various power system monitoring and control tasks including state estimation, economic dispatch, and contingency analysis. In this paper, we present a novel approach of power network parameter correction wherein we exploit the sparse nature of parameter errors. Parameter error correction...
Ocean users and marine scientists both have connections to the sea. This research explores how the nature of their connection to the sea leads to different perceptions of risk and comfort with uncertainty, and how these differences might be important to consider when one group has information another group needs....
We generalize overpartition rank and crank generating functions to obtain k-fold variants, and give a combinatorial interpretation for each. The k-fold crank generating function is interpreted by extending the first and second residual cranks to a natural infinite family. The k-fold rank generating functions generate two families of buffered Frobenius...
When the term renewable energy is mentioned in a conversation, wind, solar, and hydro energy typically come to mind. However, there is one major resource that has remained mostly untapped: wave energy. Wind and solar power technologies are well established around the world but they cannot generate electricity all the...
In this thesis I will look at a definition of computable randomness from Algorithmic Information Theory as defined by Andre Nies through the lens of Computable Analaysis asdefined by Klaus Weihrauch. I will show that despite the fact that these two paradigmsgenerate distinct classes of computable supermartingales, the class of...
Wave energy converters (WECs) are a broad class of emerging technology that converts hydrokinetic energy into some other useful form, such as electricity. The last stage in this transformation, the power take-off (PTO) subsystem, is often not experimentally evaluated until half-way through the recommended development process. This delay in evaluation...
Energy consumption has become a great deal for cloud service providers due to financial as well as environmental concerns. Studies show that cloud servers operate, most of the time, at only between 10% and 50% of their maximal utilizations. These same studies also show that servers that are kept ON...
Recently, there has been peaked interest in developing high energy producing and optimized power take-off topologies for Wave Energy Converters (WEC). As large as the potential of the oceans may seem, harnessing that energy and effectively converting it to electricity in significant amounts is a challenge. Currently, there are no...
Recent opportunities for new hydropower generation in the United States have often been in non-powered dams and run-of-river type flows occurring in low-impact natural areas and unregulated conduits. At the same time, a changing water resource paradigm is challenging some existing generation in drought stricken areas where supply reservoirs behind...
Optical wireless communication (OWC) is an alternative to radio frequency (RF)communication with a signi cantly larger and unregulated spectrum. In OWC systems, optical orthogonal frequency division multiplexing (O-OFDM) with intensity modulation and direct detection (IM/DD) is commonly used. There are two common signal structures in most OWC systems based on...
Seismically-induced liquefaction represents a major cause of damage to civil infrastructure and can result in significant damage following major earthquakes. Liquefaction can occur when earthquake ground motions raise pore-water pressures in loose, sandy soil, resulting in a substantial decrease of soil strength. Owing to the potential for instability following liquefaction,...
Renewable energy, particularly wind power, has increased dramatically over the past two decades. In the Pacific Northwest, the power system has accommodated a large amount of new wind power. The variability of wind power has introduced many challenges, requiring additional reserve generation to be available to maintain system stability. The...
Offshore wind and wave energy have the potential to be significant sources of future global electricity production, reduce carbon emissions, decrease dependence on energy importation, and stimulate economic growth in coastal and remote areas. Fixed-foundation and floating offshore wind and wave energy technologies are at different stages of development, but...
Increased penetration of renewable energy sources results in higher operating reserve requirements, due to the inherent variability and uncertainty of these resources. Many studies, primarily focusing on wind and solar, have determined that geographic diversity of variable renewables substantially reduces system variability and uncertainty. The Pacific Northwest is well suited...
During the Canterbury Earthquake Sequence (CES) in Christchurch, NZ, an estimated $15B in damages occurred due to liquefaction-induced phenomena, illustrating the importance of understanding site-specific responses to seismic ground motions, as well the importance of accurately predicting liquefaction severity. One potential method for improving the understanding of how a site...
Load modeling that can accurately represent the dynamic behavior of generators and loads is important in the operation and planning of transmission and distribution systems. Yet, it is a complex subject in power system research communities and electric utilities. The composition of the end-use loads is changing continually based on...
The objective of the work presented herein is the development of the extended Kalman filter for nonlinear system modeling. A standard Kalman filter is a well-known filter for estimating the state of a system, assuming the system is linear and it has a Gaussian distribution in its noise. In reality,...
The purpose of this qualitative, phenomenological study was to explore the lived experiences of incarcerated women who participated in a service-learning program to help the homeless. Service-learning is effective pedagogy for involving students in civic engagement, and their involvement has been shown to increase the self-esteem of participating college students....