Considering the low-carbon optimal scheduling of hybrid energy storage in the park

To address the growing complexity of multi-energy interactions in integrated energy systems aligned with carbon neutrality objectives, this study introduces a cost-effective and eco-friendly operational approach incorporating hybrid electric-hydrogen storage. A hydrogen storage framework is developed based on energy flow dynamics. Accounting for photovoltaic generation and demand fluctuations, the model minimizes both operational expenses and penalties for carbon emissions. The solution is implemented using Yalmip and CPLEX within the Matlab environment. Findings indicate that the strategy can reduce operating costs by about 13%, reduce carbon emissions by about 22%, and improve energy efficiency by about 1.6%, effectively enhancing the flexibility and economy of the system.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155379
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Considering the low-carbon optimal scheduling of hybrid energy storage in the park

Jiaming Lu, Zhenlan Dou, Xiaoyu Yang, Jing He et al.
Electric Vehicles and Infrastructure
article

Considering the low-carbon optimal scheduling of hybrid energy storage in the park

Jiaming Lu, Zhenlan Dou, Xiaoyu Yang, Jing He, Tao Lin, Yiyan Zhang, Dong Han, Xiaojia Zhang
article en

Abstract

To address the growing complexity of multi-energy interactions in integrated energy systems aligned with carbon neutrality objectives, this study introduces a cost-effective and eco-friendly operational approach incorporating hybrid electric-hydrogen storage. A hydrogen storage framework is developed based on energy flow dynamics. Accounting for photovoltaic generation and demand fluctuations, the model minimizes both operational expenses and penalties for carbon emissions. The solution is implemented using Yalmip and CPLEX within the Matlab environment. Findings indicate that the strategy can reduce operating costs by about 13%, reduce carbon emissions by about 22%, and improve energy efficiency by about 1.6%, effectively enhancing the flexibility and economy of the system.

Shanghai Electric (China) (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 76%
Electric Vehicles and Infrastructure
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