2021 Grid Science Winter School & Conference

7 - 7:15 a.m. — Welcome (Misha Chertkov - Power Grid)

7:15 - 8:45 a.m. — Invited Lectures (Session Chair - Misha Chertkov)

• 7:15 - 7:45 a.m. — Antoine Marot, RTE | Learning to Run a Power Network in a Sustainable World: A NeurIPS 2020 AI Competition | Slides
• 7:45 - 8:15 a.m. — Henrik Lund, Aalborg University | Smart Energy Systems and the Modelling of Sector Integrated National Energy Strategies | Slides
  
• 8:15 - 8:45 a.m. — Avi Ostfeld, Technion | Uncertainty Inclusion in Optimization of Multi-quality Water Distribution Systems | Slides
  

8:45 - 9:00 a.m. — Break

9:00 - 10:30 a.m. — Invited Lectures (Session Chair - Hassan Hijazi)

• 9:00 - 9:30 a.m. — Jessica Harrison, MISO | Data Analytics, Data Science and Machine Learning for Power Systems
• 9:30 - 10:00 a.m. — Cedric Josz, Columbia | Verifying Global Optimality of Candidate Solutions to Polynomial Optimization Problems using a Determinant Relaxation Hierarchy | Slides
  
• 10:00 - 10:30 a.m. — Carleton Coffrin, Los Alamos National Laboratory | A Brief Introduction to Mathematical Optimization in Julia (Part 1) | Slides

10:30 a.m. - 12:30 p.m. —  Break (Gather.Town)

12:30 - 2:00 p.m. — Invited Lectures (Session Chair - Russell Bent)

• 12:30 - 1:00 p.m. — Bowen Li, Argonne National Laboratory | Balancibility: Existence and Uniqueness of Power Flow Solutions under Voltage Balance Requirements | Slides
  
• 1:00 - 1:30 p.m. — Clayton Barrows, NREL | The Energy Water Nexus: Coupled Infrastructure Modelling Opportunities | Slides
  
• 1:30 - 2:00 p.m. — Pierluigi Mancarella, University of Melbourne | The Fragile Grid: Security and Resilience Challenges in Low-carbon Power Systems | Slides
  
• 2:00 - 2:30 p.m. - Andrea Lodi, Polytechnique Montreal | Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
  

7:15 - 8:45 a.m. — Invited Lectures (Session Chair - Adam Mate)

• 7:15 - 7:45 a.m. — Carleton Coffrin, Los Alamos National Laboratory | A Brief Introduction to Mathematical Optimization in Julia (Part 2) | Slides
  
• 7:45 - 8:15 a.m. — Spyros Chatzivasileiadis, DTU | Physics-Informed Neural Networks for Power Systems | Slides
  
• 8:15 - 8:45 a.m. — Enrique Mallada, Johns Hopkins University | Embracing Low Inertia in Power System Frequency Control: A Dynamic Droop Approach | Slides
  

8:45 - 9:00 a.m. — Break

9:00-10:30 a.m. — Invited Lectures (Session Chair - Sidhant Misra)

• 9:00 - 9:30 a.m. — Sairaj Dhople, Minnesota | Reexamining the Distributed Slack Bus | Slides
  
• 9:30 - 10:00 a.m. — Anurag Srivastava, WSU | Synchrophasor Data Analytics for Anomaly Detection, Classification, and Localization in the Electrical Grid
  
• 10:00 - 10:30 a.m. — Laurent Pagnier, University of Arizona | Physics-Informed Machine Learning Applied to Power Systems: A Tool for Scarce Data Sets and Realistic Applications

10:30 a.m. - 12:30 p.m. —  Break (Gather.Town)

12:30 - 2:30 p.m. — Invited Lectures (Session Chair - Deepjyoti Deka)

• 12:30 - 1:00 p.m. — Duncan Callaway, Berkeley | Examining Large-Scale Low Inertia Power System Stability | Slides
  
• 1:00 - 1:30 p.m. — Mani Venkatasubramanian, WSU | Oscillation Monitoring and Control Using Synchrophasors
• 1:30 - 2:00 p.m. — Line Roald, Wisconsin | Balancing Wildfire Risk and Power Outages Through Optimized Power Shut-Offs | Slides
  
• 2:00 - 2:30 p.m. — Vassilis Kekatos, Virginia Tech | Machine Learning for Optimal Inverter Operation in Distribution Grids | Slides