Dr. Shuangshuang Jin, Computer Science Tenure Track Candidate Seminar
- Monday, April 17, 2017 from 4:10pm to 5:00pm
- Barnard Hall, Room 108 - view map
High-Performance Computing & its Application in Power System Dynamic Simulation
Dynamic simulation for transient stability assessment is one of the most important computational tasks that affect the secure operation of the bulk electric power system. However, modeling the system dynamics and network involves the computational intensive time-domain solution of numerous differential and algebraic equations (DAE), which limits the ability to operate a much-evolved power system with significant dynamic and stochastic behaviors introduced by the increasing penetration of renewable generation and the deployment of smart grid technologies.
Modern High Performance Computing (HPC) holds the promise to accelerate power system application by parallelizing its kernel algorithms without compromising computational accuracy. The improved performance is expected to have a significant impact on online power grid dynamic security assessment, ultimately leading to better reliability and asset utilization for the power industry.
This talk will introduce the basic structure of power system, the HPC concept, and its application to power system dynamic simulation, discuss how to utilize advanced computing techniques for real-time power grid modeling and simulation, and present research outcomes of some parallel power system dynamic simulation applications.
Dr. Shuangshuang Jin is a senior research scientist at Electricity Infrastructure Group of Pacific Northwest National Laboratory. Her research interests include high-performance computing, parallel programming, advanced grid analytics, and computer modeling and visualization. She has authored or coauthored 30+ journal articles and conference papers in the area of Computer Science, Power Engineering, and Bioinformatics. She received her M.S. in Computer Science with a specialty in Computer Graphics and
Visualization, and Ph.D. in Computer Science with a specialty in Scientific Computation from Washington State University in 2003, and 2007, respectively.