Residential Battery Pooling Under Backup Commitments
Jerry Anunrojwong, Baosen Zhang

TL;DR
This paper compares standalone and pooled control strategies for residential batteries providing backup during outages and market services, analyzing their economic benefits under various backup duration constraints.
Contribution
It introduces a model predictive control framework to evaluate the economic tradeoffs of pooling residential batteries with household backup guarantees.
Findings
Pooling remains beneficial but its value declines as backup duration requirements increase.
Standalone control yields higher weekly margins than pooling, especially at shorter backup durations.
Pooling offers about 11.8% to 13.5% additional benefit over standalone control depending on backup cap.
Abstract
Residential batteries increasingly serve two roles: they can earn money by arbitraging wholesale prices and providing grid services, and they provide backup power during outages. This dual use creates a basic tradeoff between earning market value and preserving outage readiness. Coordination across many batteries can help, but a provider cannot treat the fleet as a single virtual battery when each household is promised its own backup protection. We compare standalone control, in which each home is dispatched independently, with pooling, in which homes are coordinated while each battery retains its own state of charge and household-specific backup requirement. Both regimes are implemented as model predictive control problems with 15-minute decision intervals and evaluated using household telemetry together with ERCOT market inputs. The empirical design focuses on the 543 homes in our…
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.
