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Research on power to hydrogen optimization and profit distribution of microgrid cluster considering shared hydrogen storage

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  • Shi, Mengshu
  • Huang, Yuansheng
  • Lin, Hongyu

Abstract

With the development of renewable energy, the number of microgrid systems is gradually increasing, which puts forward higher requirements for the power grid. How to make full use of the internal resources of microgrid, guarantee power supply and relieve power grid's burden is an urgent problem to be solved. In this paper, a planning and optimization strategy of a microgrid cluster consisting of shared hydrogen storage is proposed. This study is mainly divided into three stages. In the first stage, capacity planning and daily operation optimization of energy storage schemes in different scenarios are carried out through a two-layer optimization model. In the second stage, the comprehensive benefits of different scenarios are calculated by comparing whether the microgrids are in a cluster and whether the energy storage is shared. The third stage is to reasonably distribute the benefits of the members of the microgrid cluster. The results show that the complementarity between microgrids and the configuration of hydrogen energy storage can eliminate the phenomenon of power failure, reduce the dependence of microgrids on the superior grid, improve the peak regulation capacity, promote the consumption of renewable energy, and obtain economic benefits.

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  • Shi, Mengshu & Huang, Yuansheng & Lin, Hongyu, 2023. "Research on power to hydrogen optimization and profit distribution of microgrid cluster considering shared hydrogen storage," Energy, Elsevier, vol. 264(C).
    • Handle: RePEc:eee:energy:v:264:y:2023:i:c:s0360544222029991
    DOI: 10.1016/j.energy.2022.126113
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    1. Amine, Hartani Mohamed & Aissa, Benhammou & Rezk, Hegazy & Messaoud, Hamouda & Othmane, Adbdelkhalek & Saad, Mekhilef & Abdelkareem, Mohammad Ali, 2023. "Enhancing hybrid energy storage systems with advanced low-pass filtration and frequency decoupling for optimal power allocation and reliability of cluster of DC-microgrids," Energy, Elsevier, vol. 282(C).
    2. Wang, L.L. & Xian, R.C. & Jiao, P.H. & Liu, X.H. & Xing, Y.W. & Wang, W., 2024. "Cooperative operation of industrial/commercial/residential integrated energy system with hydrogen energy based on Nash bargaining theory," Energy, Elsevier, vol. 288(C).
    3. Bian, Yifan & Xie, Lirong & Ye, Jiahao & Ma, Lan & Cui, Chuanshi, 2024. "Peer-to-peer energy sharing model considering multi-objective optimal allocation of shared energy storage in a multi-microgrid system," Energy, Elsevier, vol. 288(C).
    4. Ziad M. Ali & Martin Calasan & Shady H. E. Abdel Aleem & Francisco Jurado & Foad H. Gandoman, 2023. "Applications of Energy Storage Systems in Enhancing Energy Management and Access in Microgrids: A Review," Energies, MDPI, vol. 16(16), pages 1-41, August.
    5. Bowen Zhou & Zhibo Zhang & Chao Xi & Boyu Liu, 2023. "A Novel Two-Stage, Dual-Layer Distributed Optimization Operational Approach for Microgrids with Electric Vehicles," Mathematics, MDPI, vol. 11(21), pages 1-33, November.
    6. Kannaiyan, Kumaran & Lekshmi, G.S. & Ramakrishna, Seeram & Kang, Misook & Kumaravel, Vignesh, 2023. "Perspectives for the green hydrogen energy-based economy," Energy, Elsevier, vol. 284(C).

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