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Articles 52021 - 52050 of 1114132
Full-Text Articles in Entire DC Network
Fairness And Robustness In Decentralized Federated Learning, Kaichuang Zhang
Fairness And Robustness In Decentralized Federated Learning, Kaichuang Zhang
Theses and Dissertations
Federated Learning (FL) has emerged as a privacy-preserving paradigm that allows multiple clients to collaboratively train a machine learning model without sharing raw data. However, traditional FL relies on a central server for model aggregation, which introduces a single point of failure and makes the system vulnerable to server-side attacks or breakdowns. To address these limitations, Decentralized Federated Learning (DFL) has been proposed, eliminating the need for a central server and enhancing system resilience. Despite these advantages, DFL faces critical challenges related to fairness and robustness, especially under non-i.i.d. data distributions and adversarial conditions. In this thesis, we propose a …
Tribological Characterization Of Laser Microtextured Ti-6al-4v Eli Alloy For Biomedical Applications, Nicholas Ricardo Perez
Tribological Characterization Of Laser Microtextured Ti-6al-4v Eli Alloy For Biomedical Applications, Nicholas Ricardo Perez
Theses and Dissertations
Titanium alloys have been gaining popularity in multiple fields due to their impressive physical properties, but struggle with poor tribological performance. This thesis aims to mitigate the poor tribological performance of titanium alloys through a laser microtexturing process. Ti-6Al-4V ELI (Extra Low Interstitial) alloy disks were evaluated against ultrahigh molecular weight polyethylene (UHMWPE) and polyether ether ketone (PEEK) pins. Four texturing patterns were created by changing the texture area fraction from 5 to 20% that were evaluated against untextured control samples. The tribological properties of the laser textured Ti-6Al-4V ELI disks were determined using a pin-on-disk tribometer under lubricated sliding …
Spin Coater Design With Pid Algorithm Using Polynomial Regression Approach And Bias Tuning For Tio2 Deposition Process, Geo Surya Andika, Nofrijon Sofyan, Donanta Dhaneswara, Akhmad Herman Yuwono
Spin Coater Design With Pid Algorithm Using Polynomial Regression Approach And Bias Tuning For Tio2 Deposition Process, Geo Surya Andika, Nofrijon Sofyan, Donanta Dhaneswara, Akhmad Herman Yuwono
Journal of Materials Exploration and Findings
The thin-film deposition technique using spin coating offers a cost-effective alternative to Chemical Vapor Deposition (CVD) and Physical Vapor Deposition (PVD). The spin-coating process requires precise control of the motor drive system to ensure that the rotational speed, measured in rotations per minute (RPM), aligns with the set point and remains stable. This study presents the design and development of a spin coater prototype to achieve uniform thin-film deposition. The control method employed utilizes a Proportional-Integral-Derivative (PID) algorithm, incorporating a polynomial approach with bias tuning. The PID control was chosen to achieve stable operation in a non-linear system. The performance …
Nonlinear Control System Design And Hardware Testing Of An Overactuated Multicopter, William A. Wearren
Nonlinear Control System Design And Hardware Testing Of An Overactuated Multicopter, William A. Wearren
Graduate Theses and Dissertations (2019 - present)
For the concept of Urban Air Mobility to be implemented into everyday life, the safety of passengers, bystanders, and surrounding infrastructure needs to be held paramount [1]. In previous work done at the University of South Alabama Facility for Aerospace Systems and Technology (FAST) lab, a reconfigurable control law was derived and tested on a scratch built multicopter [2]. The goal of the control law was to stabilize an X8 model multicopter in the event of motor outages [2]. The control law was tested on a simulated model and flight tested on a small-scale X8 multicopter to verify the effectiveness …
Autonomous Control Of A Hybrid Unmanned Aerial Towed System On A Moving Platform, Zachary M. Miller
Autonomous Control Of A Hybrid Unmanned Aerial Towed System On A Moving Platform, Zachary M. Miller
Graduate Theses and Dissertations (2019 - present)
With tethered rotor drones being more popular for aerial surveillance, moving platforms for tethered drones are being researched. However, these systems require constant power to the rotor drones for stabilization. With this difficulty in power consumption, a hybrid drone solution is presented. The hybrid drone is similar to an airplane, with quadcopter motors attached for stabilization and thrust when not moving.
The controller for the hybrid drone was tested and verified in simulation. The simulation of the system was built in Fortran and consists of a driver, a tether, and a hybrid drone. The driver was modeled after a generic …
Comparison And Evaluation Of Overlay And Leveling Binder In Traffic Circle Construction, Pratik Neupane
Comparison And Evaluation Of Overlay And Leveling Binder In Traffic Circle Construction, Pratik Neupane
Graduate Theses and Dissertations (2019 - present)
Traffic circles play a vital role in managing traffic flow and ensuring safety, yet their unique traffic conditions make them prone to early cracking and deformation. This study evaluated the performance of overlay and leveling binder asphalt mixtures for a reconstructed traffic circle at the University of South Alabama, using plant-mixed laboratory-compacted (PMLC) specimens. Volumetric analyses were performed to determine maximum specific gravity (Gmm), bulk specific gravity (Gmb), and air voids content. Laboratory tests were conducted on both the overlay and leveling binder layers using indirect tensile cracking test (IDEAL-CT) and indirect tensile rutting test (IDEAL-RT) to assess cracking tolerance …
An Msbe–Driven Advanced Air Mobility Post–Disaster Response System, Olabode A. Olanipekun
An Msbe–Driven Advanced Air Mobility Post–Disaster Response System, Olabode A. Olanipekun
Graduate Theses and Dissertations (2019 - present)
In this work, an overarching conceptual design model towards the realization of a proposed Advanced Air Mobility Post–Disaster Response System (AAMPDR system) was explored through the focal lenses of systems thinking (ST), socio–technical systems (STS) and model–based systems engineering (MBSE) paradigms. Initially aimed at providing intervention for casualties and aerial support to emergency rescue workers on the ground in the event of a hurricane disaster around the Gulf shore of the Mobile bay area, Mobile city, AL., the scope of this research subsequently expanded to include a global outlook. Thereafter, culminating in the development of a generalized AAMPDR system model …
Evaluation Of Novel Jointless Engineered Cementitious Composite Ultrathin Whitetopping (Ecc-Utw) Overlay, Hassan Noorvand, Marwa Hassan, Tyson Rupnow, Ricardo Hungria
Evaluation Of Novel Jointless Engineered Cementitious Composite Ultrathin Whitetopping (Ecc-Utw) Overlay, Hassan Noorvand, Marwa Hassan, Tyson Rupnow, Ricardo Hungria
Publications
The present work corresponds to the development and the application of a cost-effective Engineered Cementitious Composites (ECC) mix design with the name M3-1.5%. Once the material was developed it was applied in the construction of a novel engineered cementitious composites ultrathin whitetopping (ECC-UTW) overlay. The overlay was constructed in May 2019 at the Pavement Research Facility (PRF) in Port Allen, Louisiana. The project was built on top of a distressed asphalt pavement corresponding to a previous project. During the construction, samples were gathered and subjected to testing after 28 days through means of compressive, uniaxial tension and flexural strength tests. …
Integrated Capillaric Sensors And Design Of Sensor Systems For Human Movement Analysis Using Skin-Mountable Patches, Hudson Gasvoda
Integrated Capillaric Sensors And Design Of Sensor Systems For Human Movement Analysis Using Skin-Mountable Patches, Hudson Gasvoda
Engineering Ph.D. Theses
This thesis presents the development and integration of capillaric strain sensors (CSSs) for human movement recognition. CSSs operate by detecting volume changes in closed microfluidic networks in response to linear strain, offering tunable directionality and sensitivity. By adopting strategies from electrical digital circuits, CSSs were configured in OR and AND logic gate arrangements, enabling simplified movement recognition without extensive computational resources. Digital image correlation techniques were employed to map strain fields, facilitating accurate predictions of sensor responses. Skin-mounted CSS patches as small as 3 × 3 mm² demonstrated effective human movement detection, highlighting their potential in wearable technology applications.
Building …
“África Es Nuestro Corazón, Nuestra Sangre”: Cuban Revolutionary Internationalism In Africa During The Inter-Conference Period, 1966-1979, Nathan C. Sommer
“África Es Nuestro Corazón, Nuestra Sangre”: Cuban Revolutionary Internationalism In Africa During The Inter-Conference Period, 1966-1979, Nathan C. Sommer
Undergraduate Honors Theses
Cuban foreign policy demonstrated continuity in Africa between the Tricontinental Conference of 1966 and the Sixth Summit of the Non-Aligned Movement in 1979. I look at Cuban involvement in African liberation movements of the mid-1960s to characterize the initial launch of Cuba’s yet-to-be fully developed Africa policy. Next, through the lens of the Ogaden War, I examine at the evolution of Cuban foreign policy in the late 1970s. By the time representatives from 82 countries came to Havana in January 1966, Cuba was heralded by the majority of non-aligned countries for their bravery and selflessness. By the late 1970s, significant …
Case Law On American Indians: September 2023 - August 2024, Thomas P. Schlosser
Case Law On American Indians: September 2023 - August 2024, Thomas P. Schlosser
American Indian Law Journal
No abstract provided.
Multifunctional Pvdf Ionogels With Magnetic Nanoparticles For Electroactive And Magnetic Actuation, Alfredo Carrillo Valverde
Multifunctional Pvdf Ionogels With Magnetic Nanoparticles For Electroactive And Magnetic Actuation, Alfredo Carrillo Valverde
Chemical Engineering Undergraduate Honors Theses
The fast development of compact and multifunctional electronics has driven interest in smart materials capable of responding to multiple stimuli. Ionogels, polymers that have been swollen with ionic liquids (IL), offer several favorable electrochemical and thermal properties due to their intrinsic ion conductivity, wide electrochemical window, non-flammability, and high thermal stability. However, their poor mechanical properties (e.g., modulus and strength) limit their use in applications. In this work, multifunctional PVDF ionogel composites were made by blending magnetically responsive iron oxide nanoparticles (Fe3O4 MNPs) into the polymer matrix. The influence of MNP concentration (9-21 wt%) on composition, ionic …
Using Gaussian Process Regression To Learn Thermodynamic Equations Of State With Uncertainty Quantification, Austen T. Lee
Using Gaussian Process Regression To Learn Thermodynamic Equations Of State With Uncertainty Quantification, Austen T. Lee
Chemical Engineering Undergraduate Honors Theses
This study investigates the use of derivative-informed Gaussian Process (GP) models to estimate thermodynamic behavior across temperature and density by building a Helmholtz-based equation of state. Argon, a stable monatomic gas, was chosen as a case study within the vapor region. The GP model was trained using values of experimentally measurable properties found by taking first and second derivatives of the original potential function. Results show that while the GP model offered uncertainty quantification and informed thermodynamic behavior, it predicted values that deviated from the ground truth depending on the property. The model exhibited high confidence in regions with substantial …
Personalized Model Of Cardiac Fibroblast Signaling Using Patient-Specific Data, Elizabeth A. Schuler
Personalized Model Of Cardiac Fibroblast Signaling Using Patient-Specific Data, Elizabeth A. Schuler
Chemical Engineering Undergraduate Honors Theses
Heart disease is the leading cause of death worldwide for both men and women, and cardiac fibroblasts are critical to heart form and function. Essential roles of cardiac fibroblasts include cell-cell communication, cell-cell signaling, and synthesizing and degrading the extracellular matrix (ECM), which controls structural support and tissue repair of the heart. Abnormal fibroblast signaling can lead to negative impacts, including fibrosis, impaired heart function, and inflammation. A computational model of cardiac fibroblast signaling on Netflux and MATLAB software was adapted and utilized to determine the effect of patient-specific levels of cytokines, hormones, growth factors, peptides, and membrane tension on …
Modeling Cell Buildup And Release In An Ultrafiltration Cartridge, Holiday B. Derosier
Modeling Cell Buildup And Release In An Ultrafiltration Cartridge, Holiday B. Derosier
Chemical Engineering Undergraduate Honors Theses
While membrane filtration has improved greatly and has been incorporated into many modern practices, there isn’t much data on material exchange in and out of the lumen and how that effects the overall efficiency of the process. This data may help to accurately measure the reliability and efficiency of a filtration membrane system, which can lead to improvements in filtration sustainability, process lifespan, and product quality.
This project aims to model the material balance within a perfusion bioreactor ultrafiltration system in MATLAB, with a focus on bioreactors and cell buildup and release from the lumen. The results of this study …
Commercial Applications Of Modular Ion Exchange Membrane Systems For Ion Removal From Drinking Water, Courtney J. Wilmoth
Commercial Applications Of Modular Ion Exchange Membrane Systems For Ion Removal From Drinking Water, Courtney J. Wilmoth
Chemical Engineering Undergraduate Honors Theses
Iron and other heavy metals are harmful contaminants that can be found in many sources of fresh water, especially well water. Currently, around 43 million Americans use well water as their primary source of potable drinking water [1]. As the commercial desire for portable water treatment systems increases, the scientific advancements for these systems must also increase. Microfiltration membranes allow for portable filtration due to their low-pressure requirements but typically cannot remove metal ions via size exclusion. This work examines the incorporation of ion exchange membranes in series to portable filtration devices to increase the capture of ions without sacrificing …
Feasibility Of Liquid Carbon Sources For Algae Growth, Brady S. Jones
Feasibility Of Liquid Carbon Sources For Algae Growth, Brady S. Jones
Chemical Engineering Undergraduate Honors Theses
This thesis explores the use of electrochemically produced aqueous bicarbonate as a novel liquid-phase carbon source for enhancing algal biomass productivity. Targeting the freshwater microalgae Chlorella Saccharophila, the study investigates its growth response to varying bicarbonate concentrations and compares the efficacy of liquid bicarbonate delivery with traditional gaseous CO₂ bubbling methods. Results demonstrate that Chlorella Saccharophila can sustain growth solely on bicarbonate, and that bicarbonate-fed cultures yielded higher biomass than those supplied with gaseous CO₂ or hybrid systems. These findings validate the potential of bicarbonate-based carbon delivery for scalable algae cultivation, offering key advantages such as gas-free operation, improved …
The Augmentation Of A Solar Panel Lab For The Chemical Engineering Curriculum To Introduce Sustainability Principles, Lane A. Wilkins
The Augmentation Of A Solar Panel Lab For The Chemical Engineering Curriculum To Introduce Sustainability Principles, Lane A. Wilkins
Chemical Engineering Undergraduate Honors Theses
Photovoltaic solar cells are utilized in solar panels to convert sunlight into usable electricity. Since the energy derived from solar panels produces far less greenhouse gas than typical fuels such as coal and natural gas do, it is considered a clean source of energy and is vital to sustainability efforts. Sustainability is often defined by three pillars: environmental, social, and economical. Solar energy incorporates each of these pillars into its process, allowing it to be an effective tool to teach sustainability to students. A previously written lab that employs solar panels focused on the efficiency of converting light into electricity. …
Evaluating Fly-Ash As A Sustainable Solution For Contaminant Removal From Wastewater, Calyn Wisdom
Evaluating Fly-Ash As A Sustainable Solution For Contaminant Removal From Wastewater, Calyn Wisdom
Chemical Engineering Undergraduate Honors Theses
Access to clean and safe water is an escalating global concern due to the persistent presence of toxic contaminants in aquatic environments. Among these, synthetic dyes and per- and polyfluoroalkyl substances (PFAS) represent two distinct yet significant classes of pollutants, both posing serious environmental and public health risks. Dyes in water contribute to intense coloration, elevated chemical and biological oxygen demand (COD and BOD), reduced light penetration, and disruption of aquatic ecosystems, with potential health risks to humans upon exposure. PFAS, often termed "forever chemicals," are synthetic organofluorine compounds associated with a range of adverse health effects, including endocrine disruption, …
Engaging Future Engineers: Utilizing Ai-Generated Video To Promote The Chemical Engineering Profession, Madeline G. Mondebello
Engaging Future Engineers: Utilizing Ai-Generated Video To Promote The Chemical Engineering Profession, Madeline G. Mondebello
Chemical Engineering Undergraduate Honors Theses
The expected incline of the chemical engineering profession faces a growing need to attract the next generation of prospective students. This research explores the use of artificial intelligence (AI) software to create an innovative form of media fit for secondary school and early college outreach. The pre- and post-video questionnaires were taken by a voluntary population comprised of high school students, college students, and parents. Overall, the feedback received was generally positive but indicated that the AI avatars and the lip-sync discrepancies may disrupt the video more than enhance it. In the future, a larger population will be surveyed to …
Measuring Selectivity Of Ion Exchange Resin For Use In Activated Wafer Electrodeionization, Hope M. Coffman
Measuring Selectivity Of Ion Exchange Resin For Use In Activated Wafer Electrodeionization, Hope M. Coffman
Chemical Engineering Undergraduate Honors Theses
Ion exchange resins are a type of ion exchange material used throughout industry. Their insolubility allows for the exchange of ions and an easy separation of the resin itself. They are used alone in industry, but they are also found in processes such as electrodialysis and electrodeionization. This research investigates the selectivity of chloride form ion exchange resin in the presence of solutions of lactate and formate ions. The work of this thesis is a part of a larger study investigating the conversion and separation of glucose into lactic acid via coupled electrocatalysis and electrodialysis. The results of this study …
Enhancing Asphalt Mix Design Through Film Thickness And Bailey’S Gradation Method, Lydia Quinn
Enhancing Asphalt Mix Design Through Film Thickness And Bailey’S Gradation Method, Lydia Quinn
Civil Engineering Undergraduate Honors Theses
Contemporary asphalt research aims to strike a balance between rutting and fatigue cracking to enhance pavement longevity. The performance of asphalt mixtures is influenced by factors such as aggregate gradation and asphalt film thickness. Although gradation typically adheres to the mid-gradation method, asphalt film thickness is included in certain mix designs, even though it is not universally regarded as an essential parameter. Nonetheless, no current method primarily addresses both gradation and asphalt film thickness together. In this research, aggregate gradations were designed using the principles of Bailey’s method along with various other criteria such as control points, the dust to …
A Statistical Investigation Of The Parameters Influencing Rutting And Cracking Performance In Asphalt Mixtures, Alexis Light
A Statistical Investigation Of The Parameters Influencing Rutting And Cracking Performance In Asphalt Mixtures, Alexis Light
Civil Engineering Undergraduate Honors Theses
Durable pavement is essential for modern transportation infrastructure, especially in the United States of America which boasts over 8.5 million lane miles of roads and highways. Despite advanced construction techniques, asphalt pavements are susceptible to rutting and cracking, significantly affecting their performance and maintenance costs. Current methods for analyzing rutting and cracking in asphalt mixtures rely on various parameters, leading to measurement variability. This highlights the need for more rigorous analysis to explore the relationship between mix design variables and pavement performance. This research explores the IDEAL-CT and APA data from 171 mix designs collected by the Arkansas Department of …
Assessing The Fate Of Antibiotic Resistance Genes In Wastewater Treatment Processes, Gunter A. Campbell
Assessing The Fate Of Antibiotic Resistance Genes In Wastewater Treatment Processes, Gunter A. Campbell
Civil Engineering Undergraduate Honors Theses
The increasing need for clean water has paved the way for the creation of systems for reusing water, such as wastewater treatment plants (“WWTPs”), to provide potable water. But in recent years, such systems have raised concerns about the distribution of antibiotic resistance genes (“ARGs”). Bacteria are adapting to antibiotics by the evolution of resistance mechanisms, such as high mutation rates and horizontal transfer. The presence of ARGs, particularly tetracycline ("tetA") resistance genes, in wastewater effluents is of concern, as they can survive treatment, spread to bodies of water, and pose a threat to human health. In this study, the …
Approaching The Uno Volumetric Piv, Dugan Ewelt-Mcauliffe
Approaching The Uno Volumetric Piv, Dugan Ewelt-Mcauliffe
Senior Honors Theses
This thesis provides necessary background, theory, set-up procedure, and processing recommendations for the correct operation of the University of New Orleans Bosie Bollinger School of Naval Architecture and Marine Engineering tomographic particle image velocimeter (PIV). PIV is a useful tool for the fluid dynamitist, and the College’s PIV is a state-of-the-art example able to make high precision 3D fluid velocity measurements within a fluid volume. Using the PIV is hardly easy though. It takes a dedicated effort to set-up, precise calibration, and an understanding of how the system works to be able to properly run an experiment. This paper details …
Learning Educational Technology Prototyping With Generative Ai, Justin Olmanson, Azadeh Hassani, Gretchen K. Larsen
Learning Educational Technology Prototyping With Generative Ai, Justin Olmanson, Azadeh Hassani, Gretchen K. Larsen
Department of Teaching, Learning, and Teacher Education: Faculty Publications
In this study, we use ethnographic methods, grounded theory, and an iterative analytical approach to explore participant experiences and strategies for engaging generative AI in support of both learning how to prototype educational technologies and learning to code. We examine how ChatGPT and Giuseppe (a scaffolded co-coding interface of our own design) influence students’ approaches to prototyping and programming. This study contributes to the field by: identifying specific challenges and affordances of generative AI in prototyping and educational technology development contexts; and offering insights into how educators, students, and learning technology developers can integrate generative AI in formative educational technology …
Refractive Error And Axial Length (Real) Study: Feasibility Of A Population Study In The United States, Sarah Elizabeth Singh, Lisa A. Ostrin, Kristen L. Kerber, Cayle Concepcion, Celia Gong, Barsha Lal, Ian Flitcroft, Síofra Harrington, James Loughman, Kathryn Saunders, Fuensanta A. Vera-Diaz
Refractive Error And Axial Length (Real) Study: Feasibility Of A Population Study In The United States, Sarah Elizabeth Singh, Lisa A. Ostrin, Kristen L. Kerber, Cayle Concepcion, Celia Gong, Barsha Lal, Ian Flitcroft, Síofra Harrington, James Loughman, Kathryn Saunders, Fuensanta A. Vera-Diaz
Research Outputs: 2025-Present
SIGNIFICANCE: Myopia is the most common eye disease and a leading cause of blindness. A contemporary, large, and ethnically and geographically diverse study of ocular biometry and refractive error in children in the United States is needed to help better describe differences between myopic and nonmyopic eyes. PURPOSE: This is an initial cross-sectional report from the Refractive Error and Axial Length Growth Curve Study that includes ocular component data as a function of age, gender, and geographic location. This feasibility report will inform a planned larger longitudinal ocular growth study in children in the United States. METHODS: Cross-sectional data on …
Do Parents ‘Know Best’ When It Comes To Their Teenaged Children’S Experiences Of Sexual Content Online?, Harrison W. See, Kjartan Ólafsson, Brian O’Neill, Lelia Green, Carmen Jacques, Kelly Jaunzems
Do Parents ‘Know Best’ When It Comes To Their Teenaged Children’S Experiences Of Sexual Content Online?, Harrison W. See, Kjartan Ólafsson, Brian O’Neill, Lelia Green, Carmen Jacques, Kelly Jaunzems
Research outputs 2022 to 2026
In 2010, the EU Kids Online project, and aligned AU Kids Online study, interviewed one parent and one child (9–16) from 25,542 families across 26 countries. Information gathered included parents’ awareness of their child’s experiences of sexual content online. This dataset has since been updated by recent ethnographic work in Australia and Ireland, capturing parents’ approaches to managing their children’s (11–17) digital engagement with sexual content. Parents identified risks and benefits in their children’s encounters with adult content online. This article concludes that parents do not judge the efficacy of their digital parenting around preventing their child from seeing restricted …
Empowering Optimal Operations With Renewable Energy Solutions For Grid Connected Merredin Wa Mining Sector, Md Ohirul Qays, Ravi Kumar, Minhaz Ahmed, Stefan Lachowicz, Uzma Amin
Empowering Optimal Operations With Renewable Energy Solutions For Grid Connected Merredin Wa Mining Sector, Md Ohirul Qays, Ravi Kumar, Minhaz Ahmed, Stefan Lachowicz, Uzma Amin
Research outputs 2022 to 2026
Mining sectors require a continuous and reliable power supply; however, reliance on traditional grid utilities results in high costs and disruptions and increases extreme carbon emission. The Merredin WA sector seeks to resolve critical energy challenges affecting mining operations in Western Australia. Thus, this research proposes an optimal solar PV system with battery storage and backup generation for the mining sector to ensure a stable and cost-effective power supply that reduces harmful environmental effect. A hybrid data-driven long short-term memory (LSTM)-classical optimization framework is designed here, thereby optimizing PV-battery storage operational cost savings and energy usage. The optimization results indicate …
Networked Multi-Agent Deep Reinforcement Learning Framework For The Provision Of Ancillary Services In Hybrid Power Plants, Muhammad Ikram, Daryoush Habibi, Asma Aziz
Networked Multi-Agent Deep Reinforcement Learning Framework For The Provision Of Ancillary Services In Hybrid Power Plants, Muhammad Ikram, Daryoush Habibi, Asma Aziz
Research outputs 2022 to 2026
Inverter-based resources (IBRs) are becoming more prominent due to the increasing penetration of renewable energy sources that reduce power system inertia, compromising power system stability and grid support services. At present, optimal coordination among generation technologies remains a significant challenge for frequency control services. This paper presents a novel networked multi-agent deep reinforcement learning (N—MADRL) scheme for optimal dispatch and frequency control services. First, we develop a model-free environment consisting of a photovoltaic (PV) plant, a wind plant (WP), and an energy storage system (ESS) plant. The proposed framework uses a combination of multi-agent actor-critic (MAAC) and soft actor-critic (SAC) …