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Multi-time-space scale optimization for a hydrogen-based regional multi-energy system

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  • Fan, Guangyao
  • Yu, Binbin
  • Sun, Bo
  • Li, Fan

Abstract

Hydrogen-based regional multi-energy system (RMES) formed by uniting multiple integrated energy systems (IESs) in the region and combining the hydrogen energy industry chain is conducive to promoting a clean and low-carbon energy transition. However, the new characteristics of hydrogen-based RMES, such as multiple energy flows, multiple time scales, and multiple spatial scales, increase the difficulty of low-cost planning and flexible operation. Therefore, a novel multi-time-space scale optimization framework is proposed for the hydrogen-based RMES. Firstly, a hydrogen-based RMES is constructed, with electricity and hydrogen shared between communities, and the cooling, heating, electricity and hydrogen supply and demand balance of the system is modeled. Then, a four-phase multi-time-space scale optimization framework is proposed. The first and second phases are co-optimized to determine system configuration and day-ahead hourly operation scheme for the region to minimize both total annual cost and daily operation cost. Intra-day operation scheme for each community with 15 min time interval is obtained through moving-horizon optimization method in the third phase. In the fourth phase, with the objective of minimizing the amount of adjustment, the operation scheme of the electricity-related equipment with 5 min time interval in each community is optimally obtained. Finally, a case study is conducted with a region consisting of industrial, residential, and commercial community. The results show that, compared to the isolated IES, the total annual cost, annual carbon emissions, and total grid interactions of the hydrogen-based RMES are reduced by 3.4 k$ (0.9%), 1309.9 t (9.4%), and 1365.1 MWh (9.2%), respectively. In addition, the operation scheme obtained can flexibly coordinate various types of equipment and promote the energy balance at multi-time and multi-space scales, the daily operation cost is reduced by 3.8% relative to the day-ahead scheme.

Suggested Citation

  • Fan, Guangyao & Yu, Binbin & Sun, Bo & Li, Fan, 2024. "Multi-time-space scale optimization for a hydrogen-based regional multi-energy system," Applied Energy, Elsevier, vol. 371(C).
    • Handle: RePEc:eee:appene:v:371:y:2024:i:c:s0306261924008134
    DOI: 10.1016/j.apenergy.2024.123430
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