Real Time Data Analytics for the Resilient Electric Grid

Dates and times:

August 4th, 8 AM – August 5th, 12.30 PM

Meeting goals:

The workshop will focus on identifying the problem with evolving smart grid complexity and the recent advancements in possible solutions to enable resiliency of the power grid, specifically focused on utilizing real-time data analytics. The workshop will result in new strategies and ideas for data-science approaches to enable resiliency of the electric grid.

Hotel and Meeting Location:

Courtyard Marriot Portland Downtown/Convention Center 435 NE Wasco Street Portland, OR 97232 We will reserve a room for you at the Mariott based on your registration information. https://www.google.com/maps/embed?pb=!1m18!1m12!1m3!1d2794.875009566253!2d-122.66307768500775!3d45.532720736890596!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!3m3!1m2!1s0x5495a0b2cb13b211%3A0x1160ba5d4f2797e!2sCourtyard+by+Marriott+Portland+Downtown%2FConvention+Center!5e0!3m2!1sen!2sus!4v1529457337322

Wi-Fi and parking information:

Connect to “Courtyard_GUEST” option, and click connect for free.
Parking at the hotel is PAID, if you are driving.

Registration:

Please click here.

Workshop Agenda and Proceedings:

4th August

07:30 AM – 08:00 AM	Light Breakfast, Hallway outside of the Pearl Room
08:00 AM – 08:05 AM	Welcome and logistics: Anurag K Srivastava, Washington State University
08:05 AM – 08:30 AM	Overview of the NSF Programs: A. Pahwa, A. Kuh and R. Baheti, National Science Foundation
08:30 AM – 08:50 AM	Report from NSF Workshop “Real Time Learning and Decision Making for Dynamical Systems”: L. Xie, Texas A&M University
08:50 AM – 10:30 AM	Plenary: (1) “Data Science Strategies for Real-Time Analytics”, K. Borne, Booz Allen Hamilton (2) “Realizing the Agile, Fractal Grid”, C. Miller, National Rural Electric Cooperative Association (3) “Real Time Decisions and Control for Power Grid Resilience: Leveraging Data and Analytics”, P. Khargonekar, University of California, Irvine (3X30 minutes each + Q&A)
10:30 AM – 11:00 AM	Coffee Break, Hallway outside of the Pearl Room
11:00 AM – 12:30 AM	Panel 1: Opportunities in Enabling Electric Grid Resilience with Data Analytics (1) “Data Analytics for Power Grid Operations”, A. Bose, Washington State University (2) “Data Analytics for Resilient Distribution Systems”, C.C. Liu, Virginia Tech (3) “Data Analytics for Microgrid Resilience”, M. Shahidehpour, Illinois Institute of Technology (4) “Artificial Intelligence and Data Analytics Applications for Resilience”, M. McGranaghan, Electric Power Research Institute (4×20 minutes each + Q&A)
12:30 PM to 1:15 PM	Lunch Break, BLVD Kitchen and Bar
1:15 PM to 2:45 PM	Panel 2: Data Science Approaches to Enable Resilience (1) “Fast Algorithms for Contingency Analysis and Oscillation Monitoring of Power Grids”, A. Pothen, Purdue University (2) “Enabling the Rapid Development of New Grid Analytics from Sensor Data at Scale”, S. Murphy, PingThings, Inc. (3) “On-the-fly Knowledge Bases for Power Grid Resilience”, Y. Wu, Washington State University (4) “Security Analytics for Electric Grid: An Overview of Analytical Approach for Attack Detection, Defense and Vulnerability Assessment”, J. Pi, Siemens Corporate Technology (5) “Resilient Computation in Hierarchical Heterogeneous Systems”, M. Levorato, University of California, Irvine (5×16 minutes + Q&A)
2:45 PM to 3:30 PM	Panel 3: Data Driven Use Cases to Enable Resiliency I (1) “Enabling buildings and smart grid resilience with aggregated demand response: a data-driven approach”, Z. Vale, Polytechnic of Porto (2) “Hierarchical-Hybrid Architecture for Resilient operation of Smart Distribution Grids”, A. Annaswamy, Massachusetts Institute of Technology (3) “Finding the Right Grid Model for your Research using Big Data Semantic Search”, T. Nielsen, GridBright (4×10 minutes + Q&A)
3:30 PM to 4:00 PM	Coffee Break, Hallway outside of the Pearl Room
4:00 PM to 5:30 PM	Breakouts and discussions

5th August

8:00 AM to 8:15 AM	Goals for Breakout sessions – A. Srivastava, WSU
8:15 AM to 9:15 AM	Panel 4: Data Driven Use Cases to Enable Resiliency II (1) “Possibilities and fundamental limitations for resilience from real time data and historical data”, I. Dobson, Iowa State University (2) “Real Time Data Analytics for Cyber-Physical Grid Security”, A.Scaglione, Arizona State University (3) “Learning, Selection, and Control in Residential Demand Response for Grid Reliability”, N. Li, Harvard University (4) “Anomaly Detection and Mitigation in Cyber-Physical Grid Data”,V. V. G. Krishnan, Washington State University (5) “Data-driven Flexibility and Resilience Improvement of Power Distribution Systems”, M. Parvania, University of Utah (6) “Applying Data Analytics for Context Based Intrusion Detection: Building True Resilience in Power Systems Against Cyber Attacks”, E. Ibrahim, The Bit Bazaar LLC (7) “Data-Driven Measuring and Enabling Resilience in the Community Microgrid”, R. Hovsapian, Idaho National Laboratory (8) “Some data-driven control problems in EV charging”, S. Low, Caltech (8×10 minutes + Q&A)
9:15 AM to 10:30 AM	Breakout sessions (1) Data science based situational awareness: A. Bose, WSU/ L. Xie, TAMU, BLVD Kitchen and Bar (2) Data science based decision making: V. Venkatasubramanian, WSU/ A. Chakraborty, NCSU, The Pearl Room (3) Data analytics in real time: K. Tomsovic, UTK/ Y. Wu, WSU, Hawthorne Room (4) Scalability of data analytics approach: M. Crow, MST/ A. Gebremedhin, WSU, Broadway Room (5) Other research needs to enable resilience: C.C. Liu, VT/ S. Suryanarayanan, CSU, Belmont Boardroom
10:30 AM to 11:00 AM	Coffee Break, Hallway outside of the Pearl Room
11:00 AM to 11:30 AM	10 minute reports from breakout sessions by leads (10 x 5 + Q&A)
11:30 AM to 12:00 PM	Discussions and identify topics for future emphasis by NSF

Organized by:

Energy System Innovation Center, Washington State University (Contact: Anurag K Srivastava, anurag.k.srivastava@wsu.edu)