Kavli Affiliate: Yi Zhou
| First 5 Authors: Yiwei Qiu, Buxiang Zhou, Tianlei Zang, Yi Zhou, Ruomei Qi
| Summary:
The operational flexibility of industrial power-to-hydrogen (P2H) plants
enables admittance of volatile renewable power and provides auxiliary
regulatory services for the power grid. Aiming to extend the flexibility of the
P2H plant further, this work presents a scheduling method by considering
detailed process constraints of the alkaline electrolyzers. Unlike existing
works that assume constant load range, the presented scheduling framework fully
exploits the dynamic processes of the electrolyzer, including temperature and
hydrogen-to-oxygen (HTO) crossover, to improve operational flexibility. Varying
energy conversion efficiency under different load levels and temperature is
also considered. The scheduling model is solved by proper mathematical
transformation as a mixed-integer linear programming (MILP), which determines
the on-off-standby states and power levels of different electrolyzers in the
P2H plant for daily operation. With experiment-verified constraints, a case
study show that compared to the existing scheduling approach, the improved
flexibility leads to a 1.627% profit increase when the P2H plant is directly
coupled to the photovoltaic power.
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