Distributed Nonlinear Model Predictive Control for District Heating Networks
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866917543796539392 |
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| author | Bettoni, Alessandro Mastroddi, Giacomo Muttoni, Marco |
| author_facet | Bettoni, Alessandro Mastroddi, Giacomo Muttoni, Marco |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_29841 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Distributed Nonlinear Model Predictive Control for District Heating Networks Bettoni, Alessandro Mastroddi, Giacomo Muttoni, Marco Systems and Control Optimization and Control 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. |
| title | Distributed Nonlinear Model Predictive Control for District Heating Networks |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2605.29841 |