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SGDRIL Workshop/Conferences

Real Time Data Analytics for the Resilient Electric Grid Workshop

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.

Wi-Fi and parking information:

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

Registration:

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)

Sponsored by:

National Science Foundation