A5107210321- Power System Optimization and Stability
- Distributed and Parallel Computing Systems
- HVDC Systems and Fault Protection
- Optimal Power Flow Distribution
- Power System Reliability and Maintenance
- Parallel Computing and Optimization Techniques
- Real-time simulation and control systems
- Complex Network Analysis Techniques
- Smart Grid Security and Resilience
- Computational Physics and Python Applications
- Power Systems Fault Detection
- Smart Grid Energy Management
- Thermal Analysis in Power Transmission
- Software System Performance and Reliability
- Metabolomics and Mass Spectrometry Studies
- Advanced Numerical Methods in Computational Mathematics
- Advanced Data Storage Technologies
- Microgrid Control and Optimization
- Magnetic Field Sensors Techniques
- Structural Engineering and Vibration Analysis
- Structural Load-Bearing Analysis
- High-Voltage Power Transmission Systems
- Structural Behavior of Reinforced Concrete
- Electric Power System Optimization
- Advanced Proteomics Techniques and Applications
Clemson University
2018-2022
Pacific Northwest National Laboratory
2009-2019
Hebei University of Technology
2016-2018
Beijing University of Chemical Technology
2017-2018
Battelle
2009-2015
Washington State University Tri-Cities
2007-2009
University of Rochester
2004-2009
Office of Scientific and Technical Information
2009
United States Department of Commerce
2009
National Technical Information Service
2009
In Energy Management Systems, contingency analysis is commonly performed for identifying and mitigating potentially harmful power grid component failures. The exponentially increasing combinatorial number of failure modes imposes a significant computational burden massive analysis. It critical to select limited set high-impact cases within the constraint computing time requirements make it possible real-time system vulnerability assessment. this paper, we present novel application parallel...
Small signal stability problems are one of the major threats to grid and reliability. Prony analysis has been successfully applied on ringdown data monitor electromechanical modes a power system using phasor measurement unit (PMU) data. To facilitate an on-line application mode estimation, this paper develops recursive algorithm for implementing propose oscillation detection method detect in real time. By automatically detecting data, proposed helps guarantee that is properly timely Thus,...
Human platelets play a key role in hemostasis and thrombosis have recently emerged as regulators of inflammation. Platelets stored for transfusion produce pro-thrombotic pro-inflammatory mediators implicated adverse reactions. Correspondingly, these are central players pathological conditions including cardiovascular disease, the major cause death diabetics. In view this, mass spectrometry based proteomics study was performed on collected from healthy type-2 diabetics transfusion....
Dynamic simulation for transient stability assessment is one of the most important, but intensive, computational tasks power system planning and operation. Several commercial software tools provide functionality performing multiple dynamic simulations such as those in contingency analysis simultaneously on parallel computers. Nevertheless, a single still time consuming process performed sequentially computing core were originally designed. Modern high performance (HPC) holds promise to...
Operating the electrical power grid to prevent black-outs is a complex task. An important aspect of this contingency analysis, which involves understanding and mitigating potential failures in elements such as transmission lines. When taking into account for multiple simultaneous (known N-x problem), analysis becomes massively computational In paper we describe novel hybrid approach analysis. This exploits unique graph processing performance Cray XMT conjunction with conventional parallel...
Assessment of differential protein abundance from the observed properties detected peptides is an essential part profiling based on shotgun proteomics. However, for shared may be due to contributions multiple proteins that are affected differently by a given treatment. Excluding eliminates this ambiguity but significantly decrease number which estimates can obtained. Peptide sharing within family biologically related does not cause if members have common response On basis concept, we...
Power system dynamic simulation solves a set of differential-algebraic equations to determine the time-series trajectory when is subject disturbances such as short-circuit fault, generator tripping, or line switching. Due computational inefficiency, simulation, though widely used for off-line studies, has not been in real-time operation. That limits ability operate much-evolved power with significant and stochastic behaviors introduced by increasing penetration renewable generation...
In the long-term service of life, structural columns may experience mechanical performance degradation due to environmental erosion, various hazards, and functional modifications. This study proposes a novel concrete column reinforcement method utilizing square corrugated steel jackets as external confinement components, which significantly enhances both bearing capacity ductility original members. To investigate improvement mechanisms load-carry mode, 10 axially compressed short specimens...
As the power grid technology evolution and information revolution converge, grids are witnessing a revolutionary transition, represented by emerging technologies large scale deployment of new sensors meters in networks. This transition brings opportunities, as well computational challenges field analysis operation. paper presents some research outcomes areas parallel state estimation using preconditioned conjugated gradient method, contingency with dynamic load balancing scheme distributed...
Dynamic simulation of power system transient stability is important for planning, monitoring, operation, and control electric systems. However, modeling the dynamics network involves computationally intensive time-domain solution numerous differential algebraic equations. This results in a implementation that does not satisfy real-time constraints online dynamic security assessment. paper presents parallel on high-performance computing platform using algorithms architectures. It enables to...
Time-domain simulations are heavily used in today's planning and operation practices to assess power system transient stability, posttransient voltage/frequency profiles as well oscillatory behavior following severe contingencies comply with industry standards. Because of the increased modeling complexity, it is many times slower than real time for state-of-the-art commercial software packages complete a dynamic simulation large-scale model. With growing stochastic introduced by emerging...
This paper presents a faster-than-real-time dynamic simulation software package that is designed for large-size power system simulation. It was developed on the GridPACK <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">™</sup> high-performance computing (HPC) framework. The key features of include (1) WECC (17,000 buses) with different types detailed generator, controller, and relay models, (2) decoupled parallel algorithm optimized computation...
Layered and characterized cryogenic D2 capsules have been imploded using high-contrast pulse shapes on the 60-beam OMEGA laser at Laboratory for Laser Energetics [T. R. Boehly et al., Opt. Commun. 133, 495 (1997)]. These experiments measure sensitivity of direct-drive implosion performance to parameters such as inner-ice-surface roughness, adiabat fuel during implosion, power balance. The goal is demonstrate a high neutron-averaged ρR with low angular variance scaled, α∼3 ignition shape...
This paper presents a parallel state estimation (PSE) implementation using preconditioned conjugate gradient algorithm and an orthogonal decomposition-based algorithm. Preliminary tests against commercial Energy Management System (EMS) State Estimation (SE) tool real-world data are performed. The results show that while the can solve SE problem faster with help of computing techniques, it might not be good for due to large condition number its gain matrix introduced by wide range measurement...
Contingency analysis employs different measures to model scenarios, analyze them, and then derive the best response any threats. A proposed visual-analytics pipeline for power grid management can transform approximately 100 million contingency scenarios a manageable size form. Grid operators examine individual devise preventive or mitigation strategies in timely manner. Power engineers have applied Western Electricity Coordinating Council model.
Previous work by Morgan and coworkers on radiation-induced genome instability in Chinese hamster ovary (CHO) cell lines showed that unstable LS-12 cells had persistently elevated levels of reactive oxygen species (ROS) were likely due to dysfunctional mitochondria. To further investigate the correlation between mitochondria, we performed quantitative high-throughput mass spectrometry samples enriched mitochondrial proteins from three chromosomally CHO their stable unirradiated GM10115...
This paper presents a methodology for the prediction of power system balancing requirement and probability tail event (large imbalance between generation load). Maintaining sufficient reserves to match difference hourly schedule real-time variable load intermittent resources becomes more challenging with increasing penetration energy sources. The presented uses yearly distributions events provide high level look at issue warn operators those hours when problems are most likely occur. For...
This paper describes the GridPACKTM framework, which is designed to help power grid engineers develop modeling software capable of running on high performance computers. The framework makes extensive use templates provide level functionality while at same time allowing developers freedom express whatever models and algorithms they are using. contains modules for setting up distributed networks, assigning buses branches with arbitrary behaviors network, creating matrices vectors using...
GridLAB-D TM is an open source next generationagent-based smart-grid simulator that provides unprecedented capability to model the performance of smart grid technologies.Over past few years, has been used conduct important analyses concepts, but it still quite limited by its computational performance.In order break through bottleneck meet need for large scale power simulations, we develop a thread group mechanism implement highly granular multithreaded computation in GridLAB-D.We achieve...
With the increasing demand, scale, and data information of power systems, fast distributed applications are becoming more important in system operation control. This paper proposes a testbed for evaluating applications, considering exchange among areas. A high-performance computing (HPC) version state estimation is implemented used as an example application. The IEEE 118-bus to deploy parallel estimation, MeDICi middleware communication. performance demonstrates its capability evaluate by...