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Grid-Aware MPC for Smoothing AI Data Center Power Demand
US & West ·
A model predictive control framework for a hybrid energy storage system (battery plus supercapacitor) is proposed, embedding band-pass filter dynamics to smooth grid-side power demand of AI data centers. The receding-horizon optimization mitigates load-induced grid oscillations.
Why it matters
Relevant to balancing models and load management in power systems with volatile consumers.
arXiv:2610.17274v1 Announce Type: new Abstract: Model reduction can substantially reduce the computational burden of model predictive control (MPC) for high-dimensional systems, but a reduced dimension chosen for performance may be insufficient for safety-critical operation.
arXiv:2509.05463v3 Announce Type: replace Abstract: This paper proposes a novel approach to design analog electronic circuits that implement Model Predictive Control (MPC) policies for dynamical systems described by affine models.
arXiv:2604.01730v3 Announce Type: replace-cross Abstract: This paper investigates Koopman operator-based approaches for multivariable control of a two-spool turbofan engine. A physics-based component-level model is developed to generate training data and validate the controllers.