Research on Hydrogen Energy Storage Participation Strategies in Electricity Market Transactions Under the Influence of Green Bonds

Addressing the high investment costs and market revenue uncertainties faced by hydrogen energy storage projects, this study examines the economic implications of green bond financing on their participation in electricity market transactions. A two-level optimization decision model is constructed: the upper level aims to minimize the total cost over the project’s lifetime by optimizing the proportion of green bond financing, while the lower level aims to minimize daily operational costs by optimizing the hydrogen storage system’s charging and discharging strategy. The model comprehensively accounts for factors including medium-to-long-term contracted electricity volumes, tiered carbon pricing, and forecasting errors for wind and solar generation, utilizing the CPLEX solver for optimization. Case study analysis demonstrates that green bonds can substantially reduce financing costs, achieving optimal net present value within a financing share range of 60–80% and a storage capacity range of 1000–2000 MWh. This enhances the full lifecycle economics of hydrogen storage projects, providing theoretical support for integrated ‘financing–investment–operation’ decision-making.

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Publication Details

Journal
Sustainability
Published
2026-02-26
DOI
https://doi.org/10.3390/su18052260
Primary Topic
Electric Power System Optimization
Type
article
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article

Research on Hydrogen Energy Storage Participation Strategies in Electricity Market Transactions Under the Influence of Green Bonds

Jian Liang, Zhongqun Wu
Sustainability
Electric Power System Optimization
article

Research on Hydrogen Energy Storage Participation Strategies in Electricity Market Transactions Under the Influence of Green Bonds

Jian Liang, Zhongqun Wu
article en

Abstract

Addressing the high investment costs and market revenue uncertainties faced by hydrogen energy storage projects, this study examines the economic implications of green bond financing on their participation in electricity market transactions. A two-level optimization decision model is constructed: the upper level aims to minimize the total cost over the project’s lifetime by optimizing the proportion of green bond financing, while the lower level aims to minimize daily operational costs by optimizing the hydrogen storage system’s charging and discharging strategy. The model comprehensively accounts for factors including medium-to-long-term contracted electricity volumes, tiered carbon pricing, and forecasting errors for wind and solar generation, utilizing the CPLEX solver for optimization. Case study analysis demonstrates that green bonds can substantially reduce financing costs, achieving optimal net present value within a financing share range of 60–80% and a storage capacity range of 1000–2000 MWh. This enhances the full lifecycle economics of hydrogen storage projects, providing theoretical support for integrated ‘financing–investment–operation’ decision-making.

SustainabilityVol. 18(5)
North China Electric Power University (CN)
Openalex Percentile: Top 44%
Electric Power System Optimization
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