This paper presents a distributed nonlinear model predictive control that uses alternating direction method of mul tipliers for district heating networks. Exploiting a graph-based modeling of the thermal dynamics, our controller optimizes the mass flow absorption of buildings in a distributed cooperative scheme that mediates between the superior performance of the centralized control and the privacy preservation of the decentralized schemes. A benchmark three-building network simulation is used to compare the performance of the proposed solution with a decentralized model predictive control scheme.
@article{arxiv.2605.29841,
title = {Distributed Nonlinear Model Predictive Control for District Heating Networks},
author = {Alessandro Bettoni and Giacomo Mastroddi and Marco Muttoni},
journal= {arXiv preprint arXiv:2605.29841},
year = {2026}
}