| Título |
Scenario-Based Hierarchical and Distributed MPC for Water Resources Management with Dynamical Uncertainty |
| Autores |
VELARDE RUEDA, PABLO ANIBAL, Tian, X. , Sadowska, A. D. , Maestre, J. M. |
| Publicación externa |
Si |
| Medio |
WATER RESOURCES MANAGEMENT |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil JCR |
1 |
| Cuartil SJR |
1 |
| Impacto JCR |
2.924 |
| Impacto SJR |
1.007 |
| Fecha de publicacion |
01/01/2019 |
| ISI |
000457803400014 |
| DOI |
10.1007/s11269-018-2130-2 |
| Abstract |
A real-time control scheme informed by a streamflow forecast is presented for the optimal operation of water resources systems composed of multiple and spatially distributed systems, affected by hydroclimatic disturbances. The approach uses a two-layer scenario-based hierarchical and distributed model predictive controller (HD-MPC) to deal with the operational water management problem under dynamical uncertainty. The higher layer collects and coordinates forecast information, which is rendered into possible realizations of the uncertainties and sent to the local agents. The lower layer solves a distributed optimization problem related to the actual management objectives. The HD-MPC method is demonstrated through a simulation of the North Sea Canal system as a real-world case study. The results show the benefits of the proposed compared to over other types of MPC controllers. |
| Palabras clave |
Water resource management; Model predictive control; Distributed control; Dynamical uncertainty; Hierarchical control |
| Miembros de la Universidad Loyola |
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