Protecting residential electrical panels and service through model predictive control: A field study
Elias N. Pergantis, Levi D. Reyes Premer, Alex H. Lee, Priyadarshan,, Haotian Liu, Eckhard A. Groll, Davide Ziviani, Kevin J. Kircher

TL;DR
This study develops and tests a model predictive control system that manages household device set-points to prevent electrical panel overloads during electrification, enabling safe, cost-effective upgrades in older homes.
Contribution
It introduces a novel control architecture combining high-level planning and real-time monitoring to avoid electrical infrastructure upgrades during residential electrification.
Findings
Maintains home current within 100 A limit during winter days.
Adjusts heat pump and water heater set-points to prevent overloads.
Potential to support additional electric vehicle charging without upgrades.
Abstract
Residential electrification - replacing fossil-fueled appliances and vehicles with electric machines - can significantly reduce greenhouse gas emissions and air pollution. However, installing electric appliances or vehicle charging in a residential building can sharply increase its current draws. In older housing, high current draws can jeopardize electrical infrastructure, such as circuit breaker panels or electrical service (the wires that connect a building to the distribution grid). Upgrading electrical infrastructure can entail long delays and high costs, so poses a significant barrier to electrification. This paper develops and field-tests a control system that avoids the need for electrical upgrades by keeping an electrified home's total current draw within the safe limits of its panel and service. In the proposed control architecture, a high-level controller plans device…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRecycling and Waste Management Techniques
Methodstravel james
