- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Smart Grid Security and Resilience
- Power System Reliability and Maintenance
- Global Energy Security and Policy
- Power System Optimization and Stability
- Global Energy and Sustainability Research
- Electric Power System Optimization
- Network Security and Intrusion Detection
- Integrated Energy Systems Optimization
- Rabies epidemiology and control
- Poxvirus research and outbreaks
- Power Systems Fault Detection
- Islanding Detection in Power Systems
- Energy Load and Power Forecasting
- Bacillus and Francisella bacterial research
- Railway Systems and Energy Efficiency
- Electrostatic Discharge in Electronics
- Real-time simulation and control systems
- Power Quality and Harmonics
- Electromagnetic Launch and Propulsion Technology
- Software-Defined Networks and 5G
- Anomaly Detection Techniques and Applications
- Fibromyalgia and Chronic Fatigue Syndrome Research
National Renewable Energy Laboratory
2021-2024
Idaho National Laboratory
2023
Argonne National Laboratory
2023
University of South Florida
2022
University of Florida
2017-2021
University of South Carolina
2005
This paper describes the basic design, refinement, and verification using finite-element analysis, operational simulation Virtual Test Bed, of a linear machine for an electromagnetic aircraft launcher, carrier future. Choices format procedures determining dimensions are presented. A detailed design permanent-magnet version is presented, wound-field coil induction versions briefly discussed. The long armature-short field geometry justified, in particular impact this on scale power electronic...
This paper presents a hybrid data-driven physics model-based framework for real time monitoring in smart grids. As the power grid transitions to use of technology, it's becomes more vulnerable cyber attacks like false data injections (FDI). Although grids cyber-physical security has an extensive scope, this focuses on FDI attacks, which are modeled as bad data. State art strategies detection rely weighted least squares state estimation solution and statistical tests. strategy is inherently...
Volt/VAR control (VVC) techniques may be used for purposes such as technical loss reduction, voltage profile improvement, and conservation reduction. The advent of distributed energy resources (DERs) at distribution consumer levels imposes imperative VVC challenges the network operator. Innovative approaches have been proposed to use inherent thermal inertia buildings provide ancillary services grid tackle problems posed by increasing trend volatile DERs. Numerous state-of-the-art strategies...
Smart grid (SG) systems are designed to leverage digital automation technologies for monitoring, control and analysis. As SG technology is implemented in increasing number of power systems, data becomes increasingly vulnerable cyber-attacks. Classic analytic physics-model based bad detection methods may not detect these attacks. Recently, data-driven have been proposed use the temporal aspect learn multivariate statistics such as mean covariance matrices voltages, flows etc., then make...
Resource adequacy (RA) is an integral component of electricity system planning, and RA considerations have a major influence on the design reliable low-carbon power systems. Modeling requirements estimating contributions from all resources are challenging due to inherent relationship between rare, but important, periods grid stress. An increasing reliance weather-dependent resources, transmission, energy storage further exacerbates these challenges. Here, we present integrated capacity...
More than $5 billion in investments advanced metering infrastructure (AMI) technologies, AMI deployments, as pervasive secondary network voltage monitoring systems, provide opportunities for utility operations and controls. This paper focuses on the considerations AMI-based tools techniques industry moves toward operationalizing such large data sets. Phase identification is a first tool. Numerous distribution analysis, monitoring, control applications-including volt/volt-ampere reactive...
Currently, railway systems are electrified to meet the rising demand for faster speed, more stable operation and passenger traffic. Although special electrical traction utilized provide power load consumption, major quality challenges present. This paper addresses Volt/VAR control problem in (RPS) considering distributed generations (DGs) interconnected system via smart inverters. An economic sensitivity analysis approach is developed obtain ideal reactive injected from DG units. adaptive...
Simultaneous real-time monitoring of measurement and parameter gross errors poses a great challenge to distribution system state estimation due usually low redundancy. This paper presents error analysis framework, employing μPMUs decouple the measurements parameters. When recent scan from SCADA RTUs smart meters is available, performed as post-processing step non-linear DSSE (NLSE). In between scans AMI measurements, linear estimator (LSE) using μPMU linearized used detect data changes...
The advent of distributed energy resources (DERs) at the distribution and consumer level imposes imperative operation challenges for utilities. Novel strategies have been proposed to use thermal inertia buildings provide ancillary services grid tackle problems posed by increasing penetration renewable sources. Synthetic control storage systems (ESS) improve transient stability with increased aforementioned deal frequency only consider modulation active power loads or ESS don't voltage...
Rabies is a neurological disease that causes between 40,000 and 70,000 deaths every year. Once rabies patient has become symptomatic, there no effective treatment for the illness, in unvaccinated individuals, case-fatality rate of close to 100%. French scientists Louis Pasteur Émile Roux developed first vaccine 1885. If administered before virus reaches brain, modern imparts long-lasting immunity saves more than 250,000 people However, can suppress host’s immune response once it entered...
This paper presents an optimal phasor measurement unit (PMU) allocation strategy. PMUs provide precise measurements of voltage and current phasors a power system. These can be used for detailed dynamic analysis the system which would not possible with standard measurements, but their high cost makes resources critical. The state art simply allocates at certain buses assumes all are taken. In this work, problem is formulated as mixed integer linear programming (MILP) that considers branch...
This paper presents a Mixed Integer Linear Programming (MILP) model for optimal allocation of Automatic Switching Devices (ASDs) and Distributed Generation (DG) in distribution networks. The model's formulation considers the application ASDs protection post-fault restoration purposes, as well role DG units process. From reliability perspective, System Average Interruption Frequency Index (SAIFI) is used metric index obtaining an placement units. Decoupling problems does not provide solution,...
This paper presents an optimal phasor measurement unit (PMU) allocation strategy that focuses on the improvement of gross error detection and topological observability. In power systems analysis, errors in measurements depends accurate state estimation (SE) as well sufficient redundancy. PMUs are excellent devices to improve both these areas, consequently able detection. Since costly install, current art PMU strategies formulates problem a mixed integer linear programming (MILP) which...