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Optimal Allocation Method of Source and Storage Capacity of PV-Hydrogen Zero Carbon Emission Microgrid Considering the Usage Cost of Energy Storage Equipment

Author

Listed:
  • Hongshan Zhao

    (Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China)

  • Junyang Xu

    (Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China)

  • Kunyu Xu

    (Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China)

  • Jingjie Sun

    (Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China)

  • Yufeng Wang

    (Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China)

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.

Suggested Citation

  • Hongshan Zhao & Junyang Xu & Kunyu Xu & Jingjie Sun & Yufeng Wang, 2022. "Optimal Allocation Method of Source and Storage Capacity of PV-Hydrogen Zero Carbon Emission Microgrid Considering the Usage Cost of Energy Storage Equipment," Energies, MDPI, vol. 15(13), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4916-:d:856089
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    References listed on IDEAS

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    1. Khiareddine, Abla & Ben Salah, Chokri & Rekioua, Djamila & Mimouni, Mohamed Faouzi, 2018. "Sizing methodology for hybrid photovoltaic /wind/ hydrogen/battery integrated to energy management strategy for pumping system," Energy, Elsevier, vol. 153(C), pages 743-762.
    2. Li, Bei & Roche, Robin & Miraoui, Abdellatif, 2017. "Microgrid sizing with combined evolutionary algorithm and MILP unit commitment," Applied Energy, Elsevier, vol. 188(C), pages 547-562.
    3. Zhang, Weiping & Maleki, Akbar & Rosen, Marc A. & Liu, Jingqing, 2018. "Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage," Energy, Elsevier, vol. 163(C), pages 191-207.
    4. Abo-Elyousr, Farag K. & Guerrero, Josep M. & Ramadan, Haitham S., 2021. "Prospective hydrogen-based microgrid systems for optimal leverage via metaheuristic approaches," Applied Energy, Elsevier, vol. 300(C).
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    Cited by:

    1. Gang Liang & Bing Sun & Yuan Zeng & Leijiao Ge & Yunfei Li & Yu Wang, 2022. "An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure," Energies, MDPI, vol. 15(20), pages 1-19, October.
    2. Ye Li & Shixuan Li & Shiyao Xia & Bojia Li & Xinyu Zhang & Boyuan Wang & Tianzhen Ye & Wandong Zheng, 2023. "A Review on the Policy, Technology and Evaluation Method of Low-Carbon Buildings and Communities," Energies, MDPI, vol. 16(4), pages 1-43, February.
    3. Shuang Lei & Yu He & Jing Zhang & Kun Deng, 2023. "Optimal Configuration of Hybrid Energy Storage Capacity in a Microgrid Based on Variational Mode Decomposition," Energies, MDPI, vol. 16(11), pages 1-19, May.

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