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Model predictive supervisory control for multi-stack electrolyzers using multilinear modeling
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DOI：10.1016/j.ijhydene.2025.151847.png)
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Abstract
En 中文
• A two-stage nonlinear model predictive control strategy is developed. • It solves a mixed-integer nonlinear program by algebraic relaxation. • Implicit multilinear time-invariant electrolyzer models are used. • Dynamic offshore green hydrogen production is optimized.
Keywords:
PEM electrolyzer
Multi-stack
Supervisory control
Multilinear
Implicit modeling
Model predictive control
Off-grid operation
Wind energy
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