Energy Scheduling for Integrated Electricity-Hydrogen Systems Considering Hybrid Water Electrolysis and Biomass Electrolysis

This paper focuses on the energy scheduling for integrated electricity-hydrogen systems (IEHS) with hybrid water electrolysis and biomass electrolysis. First, dynamic operating models for alkaline water electrolysis and proton exchange membrane biomass electrolysisis are presented to capture dynamic operating efficiency and temperature variations to improve the hydrogen production flexibility. Then, the quasi-steady-state operation model for IEHS is proposed. A tractable reformulation with various convex relaxation techniques is developed to address the resulting nonconvex and nonlinear terms arising from dynamic electrolysis models and quasi-steady-state hydrogen flow models to improve the solution efficiency. Numerical results illustrate the effectiveness of the proposed model.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/aaiee64965.2025.11100877
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Energy Scheduling for Integrated Electricity-Hydrogen Systems Considering Hybrid Water Electrolysis and Biomass Electrolysis

Junyi Zhai, Lu Han, Xiaohong Chen, Jiming Chen
Hybrid Renewable Energy Systems
article

Energy Scheduling for Integrated Electricity-Hydrogen Systems Considering Hybrid Water Electrolysis and Biomass Electrolysis

Junyi Zhai, Lu Han, Xiaohong Chen, Jiming Chen
article en

Abstract

This paper focuses on the energy scheduling for integrated electricity-hydrogen systems (IEHS) with hybrid water electrolysis and biomass electrolysis. First, dynamic operating models for alkaline water electrolysis and proton exchange membrane biomass electrolysisis are presented to capture dynamic operating efficiency and temperature variations to improve the hydrogen production flexibility. Then, the quasi-steady-state operation model for IEHS is proposed. A tractable reformulation with various convex relaxation techniques is developed to address the resulting nonconvex and nonlinear terms arising from dynamic electrolysis models and quasi-steady-state hydrogen flow models to improve the solution efficiency. Numerical results illustrate the effectiveness of the proposed model.

State Grid Corporation of China (China) (CN), China University of Petroleum, East China (CN)
State Grid Corporation of China
Affordable and clean energy
Openalex Percentile: Top 78%
Hybrid Renewable Energy Systems
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Energy Scheduling for Integrated Electricity-Hydrogen Systems Considering Hybrid Water Electrolysis and Biomass Electrolysis — Junyi Zhai, Lu Han, et al. · (2025) | TGRS Research Map | TGRS