1. John Grosh Lawrence Livermore National Laboratory July 20, 2017
Panel Session: On the Importance of Benchmarks to Drive Innovation in Grid Modeling
John Grosh
Lawrence Livermore National Laboratory
July 20, 2017

2. How can we sustain continuing advances in grid modeling, simulation, and analysis?
Examples:
Power flow modeling
Transient stability analysis
Production cost modeling
Co-simulation
Grid Data
Grid Tools
Computing and Storage

3. Top500 benchmark has shaped high performance computing
<
Measuring computer system performance

4. Top500 benchmark has shaped high performance computing

7. Advanced benchmarking research under DARPA HPCS Program
HPCS Application Analysis and Assessment, Kepner, J. Kepner and D. Koester, ://

8. Benchmarking is not a simple endeavor – careful analysis required!

9. How can the grid community establish performance measures for critical calculations?
Transient stability analysis targets
State-of-the-art
Long Term Vision
Bus-branch model;
transmission buses only
Node-breaker model;
transmission buses + distribution feeders
Model size will increase by 10-10,000 times
10-20 seconds time domain simulation
Long-term time domain simulation
> 5 minutes and up to several hours
~1000 contingencies
Massive contingency analysis
cascading events, millions of contingencies
15~30 minutes Wall-clock time
Within a dispatch interval
< 5 minutes
To capture the dynamics from DER and improve visibility of substation
To capture the multi-scale dynamics (Wind ramping, AGC, boiler dynamics)
To avoid cascading outages and increase grid resilience to HILP events
B-B to N-B will be 10X (nodes to ground)
B-B – substation would be one node
N-B – substation would be 10 connections
10,000 X
Who transient stability analysis today:
All ISO and utilities for planning studies
Advacnced users CAISO and PJM (real time stability in control center from Power Tech)
TSA
Dynamic behavior of generators and loads
Used for post-event analysis (root cause analysis)
No common way to understand cascading fauilure
Cascading failure
Algorithm to analysis what is the starting of events, what is the tree of events
Different from TSA … tools to analyze
Could use energy function to predict dynamic behavior (other approaches)
To enable faster than real-time simulation and meet operational needs
Community-recognized benchmarks could be used to shape development of grid modeling and analysis capbilities

10. Speakers
ARPA-E GRID DATA – Challenges and Importance of Benchmarks, Timothy Heidel, NRECA
Benchmarking Grid Modernization: Dataset, Model, and Workflow Development, Clayton Barrows, National Renewable Energy Lab
Toward Distribution Systems Benchmarks: Large Scale Synthetic Data and Rich Scenario Generation, Bryan Palmintier, National Renewable Energy Laboratory
How Benchmarks Drive Innovation and Influence the High-Performance Computing (HPC) Community, Rob Neely, Lawrence Livermore National Laboratory

11. Goal of panel – explore how to drive innovation in grid tools via benchmarking
Discuss the importance of benchmarking for shaping research agenda in computing for the grid 
Examine benchmarks used in other fields, how these are developed, and common pitfalls
Explore how the grid community might develop and deploy benchmarks