November 16-17, 2021 | Virtual
The U.S. Department of Energy Solar Energy Technologies Office (SETO) hosted a webinar series focused on SETO-funded projects on modeling and analysis of power systems transients and dynamics for electric grids with high levels of distributed solar generation.
The fast time-scale behaviors of bulk-power systems and distribution networks can interact with one another, changing their effects on the electric grid. This makes it important to understand the transient and dynamic behavior of the fully integrated grid system. Increasing levels of behind-the-meter (BTM) electricity generation, storage, and controllable variable loads make the need for accurate simulations of these complex systems more important than ever.
Two half-day webinars featured state-of-the-art research by SETO awardees in modeling and analyzing the transient and dynamic behaviors of different elements of the electric power grid, including load and distributed solar photovoltaic (PV) generation. The webinars also featured keynote speakers from the North American Electric Reliability Corporation (NERC) and Electric Reliability Council of Texas (ERCOT), as well as question and answer sessions. Slides from the webinar participants are linked in the agenda below.
Agenda
November 16, 2021
Time (ET) |
Organization |
Presenter |
Session Title |
12:00 |
SETO Systems Integration |
Guohui Yuan |
|
12:20 |
NERC |
Ryan Quint |
Are We Really Ready for High Penetration Inverted-Based Resource (IBR) Conditions? |
12:40 |
National Renewable Energy Laboratory (NREL) |
Jin Tan |
Grid Modeling and PV Variability Simulations from Economic Scheduling Timescales to Dynamic Response Analysis |
1:00 |
Argonne National Laboratory (ANL) |
Bo Chen |
Multi-time Scale Optimization Using Distributed Solar Energy for Resilience Improvement |
1:20 |
Oak Ridge National Laboratory (ORNL) |
Yilu Liu |
Smart PV Inertia Control based on Real-time System Inertia Awareness |
1:40 |
|
|
Break |
2:00 |
ORNL |
Eric (Lingwei) Zhan |
|
2:20 |
Pacific Northwest National Laboratory (PNNL) |
Thomas McDermott |
Use of Time-domain, Estimation-based, and Machine Learning Relays on Distribution Feeders with PV |
2:40 |
NREL |
Kumaraguru Prabakar |
|
3:00 |
|
|
Q&A Session |
4:00 |
|
|
Adjourn |
November 17, 2021
Time (ET) |
Organization |
Presenter |
Session Title |
12:00 |
SETO Systems Integration |
Kemal Celik |
|
12:20 |
ERCOT |
Fred (Shun-Hsien) Huang |
|
12:40 |
University of South Florida |
Lingling Fan |
|
1:00 |
North Carolina State University |
Ning Lu |
|
1:20 |
ORNL |
Suman Debnath |
New Short-term, Long-term, and Real-time Operations Tools and Models |
1:35 |
General Electric (GE) |
Maozhong Gong |
Holistic Modeling to Analyze and Improve the Stability of IBR Systems |
1:50 |
NREL |
Jin Tan |
A Hierarchical Optimal Control Framework that Leverages the Fast Response Capability of IBRs |
2:05 |
|
|
Break |
2:15 |
PNNL |
Wei Du |
|
2:30 |
PNNL |
Wei Du |
Introduction to Universal Interoperability for Grid‐Forming Inverters (UNIFI) Consortium |
2:45 |
ANL |
Dongbo Zhao |
|
3:00 |
Brookhaven National Laboratory (BNL) |
Peng Zhang |
Ultra-scalable Modeling and Analytics of PV Systems Using Neural Ordinary Differential Equations |
3:15 |
NREL |
Andy Hoke |
|
3:30 |
|
|
Q&A Session |
4:00 |
|
|
Adjourn |
Additional Information
- SETO Systems Integration Research
- SETO Fiscal Year 2021 Systems Integration and Hardware Incubator Funding Program
- SETO Fiscal Year 2020 Funding Program
- SETO Fiscal Year 2019 Funding Program
- SETO Fiscal Year 2019-2021 Lab Call
- Advanced Systems Integration for Solar Technologies (ASSIST) Funding Program