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DTSTART:20251102T010000
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DTSTAMP:20251204T192732Z
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DTSTART;TZID=America/New_York:20251211T170000
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DESCRIPTION:Abstract: Through this talk we dive into a Digital Twin (DT) fr
 amework that leverages reduced-order models enhanced with data-driven (aka
  hybrid fidelity DT) techniques for real-time monitoring and control of cy
 ber-physical devices in modern power grids. It discusses how we can create
  high-fidelity DTs as cyber-physical replicas by merging dynamic modeling 
 with data-driven estimation\, ultimately boosting situational awareness an
 d grid stability. The talk also covers the pros and cons of traditional mo
 del-driven\, data-driven DT\, and hybrid fidelity DT approaches. We will t
 ake a look at the software stack and integration pipeline necessary for de
 ploying hybrid fidelity DTs in cloud or fog environments. Key challenges i
 n developing DTs that incorporate reduced-order models and observer-based 
 control schemes to capture system interactions and enhance accuracy will b
 e discussed. Additionally\, we will explore data synchronization issues fo
 r Digital Twins-in-the-Loop (DTiL)\, along with real-time data imputation 
 and decentralized control methods\, demonstrating how we can tackle measur
 ement gaps and network disturbances. Finally\, we will showcase results fr
 om DT implementations for heat pumps\, EV chargers\, and solar inverters\,
  highlighting the emerging role of DTiL in reinforcement learning\, federa
 ted learning\, and spatio-temporal frameworks in the future of electrical 
 grids.\n\nCo-sponsored by: School of Electrical Engineering and Computer S
 cience\, University of Ottawa\n\nSpeaker(s): Javad Fattahi\n\nRoom: STE-50
 84\, Bldg: SITE - the southernmost building of the University of Ottawa Ma
 in Campus\, School of Electrical Engineering and Computer Science\, 800 Ki
 ng Edward Ave\, Ottawa\, Ontario\, Canada\, K1N 6N5\, Virtual: https://eve
 nts.vtools.ieee.org/m/519732
LOCATION:Room: STE-5084\, Bldg: SITE - the southernmost building of the Uni
 versity of Ottawa Main Campus\, School of Electrical Engineering and Compu
 ter Science\, 800 King Edward Ave\, Ottawa\, Ontario\, Canada\, K1N 6N5\, 
 Virtual: https://events.vtools.ieee.org/m/519732
ORGANIZER:branislav@ieee.org
SEQUENCE:102
SUMMARY:Digital Twins-in-the-Loop: Integrating Measurement\, Modeling\, and
  Cyber-Physical Components of Power Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/519732
X-ALT-DESC:Description: <br /><p><strong>Abstract</strong>: Through this ta
 lk we dive into a Digital Twin (DT) framework that leverages reduced-order
  models enhanced with data-driven (aka hybrid fidelity DT) techniques for 
 real-time monitoring and control of cyber-physical devices in modern power
  grids. It discusses how we can create high-fidelity DTs as cyber-physical
  replicas by merging dynamic modeling with data-driven estimation\, ultima
 tely boosting situational awareness and grid stability. The talk also cove
 rs the pros and cons of traditional model-driven\, data-driven DT\, and hy
 brid fidelity DT approaches. We will take a look at the software stack and
  integration pipeline necessary for deploying hybrid fidelity DTs in cloud
  or fog environments. Key challenges in developing DTs that incorporate re
 duced-order models and observer-based control schemes to capture system in
 teractions and enhance accuracy will be discussed. Additionally\, we will 
 explore data synchronization issues for Digital Twins-in-the-Loop (DTiL)\,
  along with real-time data imputation and decentralized control methods\, 
 demonstrating how we can tackle measurement gaps and network disturbances.
  Finally\, we will showcase results from DT implementations for heat pumps
 \, EV chargers\, and solar inverters\, highlighting the emerging role of D
 TiL in reinforcement learning\, federated learning\, and spatio-temporal f
 rameworks in the future of electrical grids.</p>
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