2nd International Workshop on High Performance Computing, Networking and Analytics for the Power Grid in Salt Lake City, UT, USA, November 2012
2nd International Workshop on High Performance Computing,
Networking and Analytics for the Power Grid
Salt Lake City, UT, USA, November 11, 2012
Sensor deployments on the grid are expected to increase geometrically in the immediate future, while the demand for clean energy generation and policy changes are driving the use of non-dispatchable power sources, such as solar and wind. New demands are being placed on the power infrastructure due to the introduction of plug-in vehicles. These trends reinforce the need for higher fidelity simulation of power grids, and higher frequency measurement of their state.
Traditional grid simulation and monitoring tools cannot handle the increased amounts of sensor data or computation imposed by these trends. The use of high performance computing and networking technologies is of paramount importance for the future power grid, particularly for its stable operation in the presence of intermittent generation and increased demands placed on its infrastructure.
The workshop intends to promote the use of high performance computing and networking for power grid applications.
Below is a list of presentations from the workshop:
- Keynote by Henry Huang
- EmPower: An Efficient Load Balancing Approach For Massive Dynamic Contingency Analysis in Power Systems
- TDPSS: A Scalable Time Domain Power System Simulator For Dynamic Security Assessment
- Real-Time Power System Dynamics Simulation using a Parallel Block-Jacobi Preconditioned Newton-GMRES scheme
- "Towards" N-x Contingency Selection Using Group Betweenness Centrality
- Real-Time Simulation using Transient Stability, Electromagnetic Transient and FPGA-based High-Resolution Solvers
- Evaluation of Counter-Based Dynamic Load Balancing Schemes for Massive Contingency Analysis on Over 10,000 Cores
- Predictive Dynamic Simulation for Large-Scale Power Systems through High-Performance Computing
- Towards Real-Time High-Performance Computing for Power Grid Analysis
Daniel Chavarría, Pacific Northwest National Laboratory, Workshop Chair
Bora Akyol, Pacific Northwest National Laboratory
Mihai Anitescu, Argonne National Laboratory
Gilbert Bindewald, US Department of Energy
Boming Zhang, Tsinghua University
Jeffrey Dagle, Pacific Northwest National Laboratory
Zhenyu (Henry) Huang, Pacific Northwest National Laboratory
Patrick Panciatici, Réseau de transport d'électricité
This workshop is sponsored in part by the Future Power Grid Initiative (FPGI), a laboratory directed research & development initiative at the Pacific Northwest National Lab (PNNL). The goal of the FPGI is to develop the next-generation algorithms and tools for networking, modeling and simulation, and visualization and decision support to drive the transformation towards a more reliable and efficient future power grid. The FPGI technical approach is to combine PNNL’s distinctive capabilities in power systems, data intensive computing, high performance computing, and visual analytics to address the complex problems from these real-time and large-scale challenges.
Daniel G. Chavarría
Pacific Northwest National Laboratory
902 Battelle Boulevard
P.O. Box 999, MSIN: J4-30
Richland, WA 99352 USA