LAPSE:2023.12319
Published Article

LAPSE:2023.12319
Optimal Allocation Method of Source and Storage Capacity of PV-Hydrogen Zero Carbon Emission Microgrid Considering the Usage Cost of Energy Storage Equipment
February 28, 2023
Abstract
Aiming to meet the low-carbon demands of power generation in the process of carbon peaking and carbon neutralization, this paper proposes an optimal PV-hydrogen zero carbon emission microgrid. The light−electricity−hydrogen coupling utilization mode is adopted. The hydrogen-based energy system replaces the carbon-based energy system to realize zero carbon emissions. Firstly, the mathematical models of photovoltaic, hydrogen and electric energy storage systems in a microgrid are built. Then, the optimal allocation model of the microgrid source storage capacity is established, and a scheduling strategy considering the minimum operational cost of energy storage equipment is proposed. The priority of equipment output is determined by comparing the operational costs of the hydrogen energy storage system and the electric energy storage system. Finally, the proposed scheme is compared with the scheduling scheme of the battery priority and the hydrogen energy system priority in an actual microgrid. It is verified that the scheme can ensure stable power-generating, zero carbon operation of a microgrid system while reducing the total annual power costs by 9.8% and 25.1%, respectively.
Aiming to meet the low-carbon demands of power generation in the process of carbon peaking and carbon neutralization, this paper proposes an optimal PV-hydrogen zero carbon emission microgrid. The light−electricity−hydrogen coupling utilization mode is adopted. The hydrogen-based energy system replaces the carbon-based energy system to realize zero carbon emissions. Firstly, the mathematical models of photovoltaic, hydrogen and electric energy storage systems in a microgrid are built. Then, the optimal allocation model of the microgrid source storage capacity is established, and a scheduling strategy considering the minimum operational cost of energy storage equipment is proposed. The priority of equipment output is determined by comparing the operational costs of the hydrogen energy storage system and the electric energy storage system. Finally, the proposed scheme is compared with the scheduling scheme of the battery priority and the hydrogen energy system priority in an actual microgrid. It is verified that the scheme can ensure stable power-generating, zero carbon operation of a microgrid system while reducing the total annual power costs by 9.8% and 25.1%, respectively.
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Keywords
capacity configuration, optimal operation, PV-hydrogen system, zero carbon emission microgrid
Subject
Suggested Citation
Zhao H, Xu J, Xu K, Sun J, Wang Y. Optimal Allocation Method of Source and Storage Capacity of PV-Hydrogen Zero Carbon Emission Microgrid Considering the Usage Cost of Energy Storage Equipment. (2023). LAPSE:2023.12319
Author Affiliations
Zhao H: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Xu J: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China [ORCID]
Xu K: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Sun J: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Wang Y: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Xu J: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China [ORCID]
Xu K: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Sun J: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Wang Y: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Journal Name
Energies
Volume
15
Issue
13
First Page
4916
Year
2022
Publication Date
2022-07-05
ISSN
1996-1073
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PII: en15134916, Publication Type: Journal Article
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LAPSE:2023.12319
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https://doi.org/10.3390/en15134916
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