A Robust Predictive Control Method for Pump Scheduling in Water Distribution Networks
This paper proposes a Robust Model Predictive Control (RMPC) method for energy-efficient and reliable pump scheduling in Water Distribution Networks (WDNs), accounting for model uncertainties and demand forecast errors. Building on a previous robust control approach, this extended method uses a linear model with bounded disturbances and optimizes affine disturbance-based pump schedules over a receding horizon. The optimization complexity is reduced from ${\mathcal{O}}\left({{N^6}}\right)$ to ${\mathcal{O}}\left({{N^3}}\right)$ via a sparse reformulation. When applied to the Randers WDN in Denmark, the method surpasses traditional MPC variants in meeting constraints while maintaining comparable economic performance.
Authors
- Carsten Skovmose Kallesøe (ORCID: https://orcid.org/0000-0002-4197-6777)
- Eric C. Kerrigan (ORCID: https://orcid.org/0000-0002-3967-1544)
- Mirhan Ürkmez
- Jan Dimon Bendtsen
- John Leth
Institutions
- Imperial College London (GB)
- Aalborg University (DK)
Publication Details
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1109/cdc57313.2025.11312981
- Primary Topic
- Water Systems and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00