An MHE-based MPC strategy for simultaneous energy generation maximization and water level management in inland waterways

This paper proposes a combined control and state estimation strategy for inland waterways, aiming at simultaneously attaining the optimal water level management maximizing hydroelectricity generation. The latter can be realized by turbines installed in canal locks that harness energy generated during lock filling draining operations. These two objectives are of opposed nature, as maximization generation achieved number operations, which turn leads to unbalanced levels upstream downstream lock. To address this issue, multi-objective optimization problem is formulated . Then, model predictive (MPC) moving horizon (MHE) designed maintain navigation conditions canals while production. Finally, proposed applied realistic case study based on part waterways north France.