- Microgrid Control and Optimization
- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Smart Grid Energy Management
- Energy Harvesting in Wireless Networks
- Wireless Power Transfer Systems
- Advanced Battery Technologies Research
- Islanding Detection in Power Systems
- Sensorless Control of Electric Motors
- Electric Motor Design and Analysis
- Smart Grid Security and Resilience
- Real-time simulation and control systems
- Optimal Power Flow Distribution
- Power System Optimization and Stability
- Power Systems Fault Detection
- Innovative Energy Harvesting Technologies
- Silicon Carbide Semiconductor Technologies
- Electric Vehicles and Infrastructure
- Electric and Hybrid Vehicle Technologies
- HVDC Systems and Fault Protection
- Transport Systems and Technology
- Advanced Sensor and Energy Harvesting Materials
- Energy Load and Power Forecasting
- Optical Network Technologies
- Hand Gesture Recognition Systems
The University of Texas at San Antonio
2016-2025
Case Western Reserve University
2024
The University of Texas of the Permian Basin
2021-2022
Nile University
2021-2022
Northern Technical University
2021
San Antonio College
2019
Higher Colleges of Technology
2019
Nanjing University of Aeronautics and Astronautics
2018
Damietta University
2017
AbbVie (United States)
2013-2016
This paper presents a modified small-signal model of voltage source inverter (VSI) and converter (VSC) that captures nonlinearities such as deadtime modulation effects were not presented in the literature. Previous research has concentrated on developing compensation methods for these types phenomena switching model, but very little predicting them. In this paper, VSI literature is used, different are then incorporated into to get complete one. addition, effect current feedback control also...
Electric vehicles (EVs) play a crucial role in achieving sustainability goals, mitigating energy crises, and reducing air pollution. However, their rapid adoption poses significant challenges to the power grid, particularly during peak charging periods, necessitating advanced load management strategies. This study introduces an artificial intelligence (AI)-integrated optimal framework designed facilitate fast mitigate grid stress by smoothing “duck curve”. Data from Caltech’s Adaptive...
In many industrial settings, momentary power disruptions commonly occur, resulting in tripping of large electric machines, which then have to be brought zero speed before the machine can restarted. This result frequent interruptions an process, negative effects on productivity. A more practical approach would restart back original as soon is restored, not having wait for at a standstill. concept known flying restart. this paper, we propose implement permanent magnet synchronous machines...
Unlike conventional servers housed in a centralized and secured indoor environment (e.g., data centers), Internet-of-Things (IoT) devices such as sensor/actuator are geographically distributed may be closely located to the physical systems where IoT utilized. However, resource-constrained nature of limits their capacity deploy sophisticated security solutions. The proposed approach assumes that device can compromised hence, need able automatically isolate device(s). In order enforce policies...
This paper presents a universal flying restart strategy for scalar ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V/f</i> ) controlled induction machines. The proposed method performs frequency search to estimate the rotor speed, and applies correct voltage minimize inrush current during restart. uses measured phase motor nameplate parameters, thus making approach ideal scalar-controlled drives. In addition, algorithm provides controllable...
The need for and interest in very-short-term load forecasting (VSTLF) is increasing important goals such as energy pricing markets. There greater challenge predicting consumption residential-load-type data, which highly variable nature does not form visible patterns present aggregated nodal-type data. Previous works have used methods LSTM CNN VSTLF; however, the use of DNN has yet to be investigated. Furthermore, DNNs been effectively STLF but applied time frames. In this work, a deep...
This paper presents a modified small-signal model of voltage source inverter (VSI) that captures nonlinearities such as dead time and modulation effects were not presented in the literature. Previous research has concentrated on developing compensation methods for these types phenomena switching model, but none actually derived an analytical can predict them. In this paper, VSI literature is used, different are then incorporated into to get complete one. addition, output impedance with...
Frequency-domain terminal-behavioral modeling of ac systems is unquestionably attracting more and interest in engineering practice. New electronic power distribution built for airplanes, ships, electric vehicles, data-centers even homes, dominantly comprise a variety electronics converters with very different dynamic characteristics. If their behavior not examined carefully before system integrated, instability can become one the major concerns. This paper addresses low-frequency three-phase...
The integration of single-phase microgrids (MG) and unbalanced loads to three-phase MGs results in power quality issues at the point common coupling (PCC). These include voltage, unequal flow, inaccurate reactive sharing. In this article, an energy storage system (ESS) has been proposed with novel control methods help mitigate unbalance these islanded multimicrogrids (MMGs). It presents two methods: modified reverse droop multifunction compensate MMG generate needed active references ESS....
Unbalanced and nonlinear loads connected to micro grids (MG) with local distributed energy resources (DERs) are two of the leading causes power quality problems. Nonlinear introduce voltage current harmonics, single phase can cause imbalances in a three network. This paper presents hierarchical control scheme for controlled photovoltaic (PV) inverters unbalanced micro-grids. The consists primary control, compensation (VCC) DC regulator (VR). controls active reactive sharing VCC regulates...
Scalable coordination of photovoltaic (PV) inverters, considering the uncertainty in PV and load distribution networks (DNs), is challenging due to lack real-time communications. Decentralized inverter setpoints can be achieved address this issue by capitalizing on abundance data from smart utility meters scalable architecture artificial neural (ANNs). To end, we first use an offline, centralized data-driven conservative convex approximation chance-constrained optimal power flow (CVaR-OPF)...
The growing penetration of distributed energy resources (DERs) has increased the complexity power system due to their intermittent characteristics and lower inertial response, such as photo voltaic (PV) systems wind turbines. This restructuring considerable effect on transient response resulting in inter area oscillations, less synchronized coupling swings. Furthermore concept being itself generating electricity from multiple locations makes impact DERs even worse by raising issues reverse...
This paper describes the development and evaluation of a piezoelectric energy harvester (PEH) designed to power novel system for weighing roadway vehicles in-motion. The PEH consists four lead zirconate titanate (PZT) stacks connected in parallel. Each stack is made six PZT elements alternating polarity. electromechanical characterization stacks, design electronic circuit its generation potential under realistic traffic conditions. An model was fitted laboratory data that allows relating...
Hybrid electronic power distribution systems have majority of loads interfaced to energy sources through electronics converters. Furthermore, all alternative, sustainable, and distributed can only be connected electric grid equipment. However, one the main challenges in designing developing these hybrid ac/dc has been modeling analysis dynamic interactions between converters at synchronous higher frequencies. In order address problems, this paper employs terminal-behavioral as possible...