Date
November 4, 2026
Venue
Room: 232, Wisenbaker Engineering Building, TAMU, 188 Bizzell St, College Station, TX, 77801
Tentative Schedule (Subject to change)
9:00 - 9:30 AM Check in
9:30 - 10:00 AM Opening Remarks | CALL Introduction
Narasimha Annapareddy (TAMU), Venkat Tirupati (ERCOT) | Xin Chen, Prasad Enjeti (TAMU)
10:00 - 10:35 AM Reliability Risks Associated with Data Center Ride-Through Performance
Speakers: Patrick Gravois (ERCOT)
Abstract: Rapid growth in data center demand presents new reliability challenges for the ERCOT grid, particularly when voltage disturbances trigger the simultaneous loss of large amounts of load. This talk reviews ERCOT’s large load growth, observed ride-through events, and the associated system stability risks. It also discusses data center ride-through requirements, load loss system stability limits, and mitigation measures to support reliable grid operation.
10:35 - 11:10 AM Tutorial 1: EMT Dynamic Modeling of Large Data Center Loads: Architecture 1 and Live Demo
Speakers: Xiaoyang Wang, Xin Chen, Prasad Enjeti, Fang Chen Lin (TAMU), Ali Yazdanpanah (ERCOT)
Abstract: This talk presents the open-source PSCAD models of large data centers developed through the Texas A&M–ERCOT collaboration, focusing on the architecture with conventional double-conversion UPS systems. We connect converter controls, UPS systems, computing and cooling loads, and protection logic to the data center’s response at the grid interface. A live demonstration brings voltage ride-through, operating-mode transitions, and post-fault reconnection, showing how engineers can adapt the models to investigate large-load behavior and assess grid impacts.
11:10 - 11:25 AM Coffee Break
11:25 - 12:00 AM Tutorial 2: EMT Dynamic Modeling of Large Data Center Loads: Emerging Architectures 2, 3, and 4
Speakers: Xiaoyang Wang, Xin Chen, Prasad Enjeti, Fang Chen Lin (TAMU), Ali Yazdanpanah (ERCOT)
Abstract: Building on the Texas A&M–ERCOT open-source modeling framework, this talk introduces EMT models in PSCAD for Emerging Data Center Architectures 2, 3, and 4 under distributed battery systems, high-voltage DC distribution, and solid-state transformer (SST)-based designs. Attendees will gain insight into modeling these emerging architectures and evaluating their dynamic behaviors and trade-offs for reliable, flexible, and grid-friendly data centers.
12:00 - 1:20 PM Lunch, Lab Tour, Group Photo
1:20 - 1:45 PM Evaluation of Large Data Center Load Behavior and System Interactions
Speakers: Shilpa Marti (Verrus)
Abstract: TBD
1:45 - 2:10 PM Low-Voltage Ride-Through Solutions for Data Centers
Speakers: Prasad Enjeti, Fang Chen Lin, Xiaoyang Wang, Xin Chen
Abstract: TBD
2:10 - 2:25 PM Coffee Break
2:25 - 2:50 PM Regulation and Market Design for Voltage Ride-Through of Large Loads
Speaker: Spencer Ward (Texas Blockchain Council)
Abstract: TBD
2:50 - 3:15 PM Optimal Control of Batteries and Supercapacitors for AI Data Center Power Smoothing
Speakers: Xin Chen, Prasad Enjeti (TAMU)
Abstract: AI data center power fluctuations can excite vulnerable grid oscillations, even when overall load variability is reduced. This talk introduces a grid-mode-aware model predictive control (G-MPC) framework that coordinates batteries and supercapacitors to smooth power demand while explicitly suppressing fluctuations at critical grid frequencies. The approach balances grid power limits, ramp-rate requirements, and storage degradation, with an efficient algorithm supporting real-time implementation. Simulation results highlight how targeted storage control can enable more grid-friendly AI data center operation.
3:15 - 3:45 PM Panel Discission on Grid-Friendly Integration of Large Data Center Loads
Panelists: 4 panelists from different sectors
3:45 - 4:00 PM Closing Remarks, Adjourn
4:00 - 4:30 PM CALL Industry Advsiory Meeting (Member Only)