7 papers
A Hierarchical Semi-Markov Load Model for AI Data Centers Coupling Job Scheduling with Bulk-Synchronous-Parallel Power Dynamics
Chandan Chaudhary, Atri Bera, Cody Newlun +2
AI data centers are emerging as a dominant new load class with their power dynamics fundamentally from conventional industrial loads. Inside a training job, the bulk-synchronous-pa…
Large-Load Demand Flexibility as Virtual Storage
Chandan Chaudhary, Mohammed Ben-Idris, Joydeep Mitra
Water electrolysis plants, hyperscale data centers, and aluminum potlines represent gigawatts of demand-side flexibility for bulk power system balancing, operational planning, and…
Storage as a Transmission Asset (SATA) for Large-Load Congestion Relief
Abanish Tiwari, Chandan Chaudhary, Yansong Pei +2
Hyperscale data centers and other large concentrated loads can impose substantial new demand on existing transmission networks. If import corridors lack sufficient transfer capabil…
Modal Analysis of Spatial Load Correlation in AI Data Center-Dominated Power Systems
Chandan Chaudhary, Michael Murillo, Mohammed Ben-Idris +3
Hyperscale AI data centers induce spatially and temporally correlated load fluctuations that violate classical independence assumptions and are not captured by time-averaged spectr…
Two-Stage Optimization for Dynamic Line Rating and Energy Storage Deployment
Abanish Tiwari, Phurba T. Sherpa, Chandan Chaudhary +2
The increasing penetration of distributed energy resources (DER) and weather-driven variability has intensified congestion and reliability stress in transmission networks. Strategi…
A Pre-Dispatch Resonance Safety Criterion for AI Training Clusters
Chandan Chaudhary, Abanish Tiwari, Yansong Pei +2
Hyperscale AI training clusters operate under the Bulk Synchronous Parallel protocol, which impose a periodic power swing on the transmission grid. Every GPU in the job transitions…