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.
@article{arxiv.2203.02991,
title = {Extended Load Flexibility of Industrial P2H Plants: A Process Constraint-Aware Scheduling Approach},
author = {Yiwei Qiu and Buxiang Zhou and Tianlei Zang and Yi Zhou and Ruomei Qi and Jin Lin},
journal= {arXiv preprint arXiv:2203.02991},
year = {2022}
}
Comments
Accepted by 2022 IEEE 5th International Electrical and Energy Conference