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A coordinated operation method for networked hydrogen-power-transportation system

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  • Xia, Weiyi
  • Ren, Zhouyang
  • Qin, Huiling
  • Dong, ZhaoYang

Abstract

Hydrogen fuel cell vehicles have been promoted as a complement to electric vehicles (EVs) to facilitate the decarbonization of transportation networks (TNs). The coordinated operation of a networked hydrogen-power-transportation system with distributed hydrogen supplies is proposed in this research. To maximize the synergistic effect, TN's couplings in hydrogen transport delays and refueling/charging demand are further integrated into the conventional hydrogen-power system. The objective is to maximize the total profits, subject to both the coupling and network constraints. To present the storage effect of hydrogen tube trailers with delays, an extended discrete user equilibrium (UE) is developed and the traditional UE is adopted to formulate refueling-charging demand couplings. Considering the hydrogen supply process, it especially involves the constraints of hydrogen production, storage, utilization, and dispensation. A data-driven robust chance-constrained programming is provided to account for multiple uncertainties from energy/traffic demand and renewable power. Simulation results of the 48-node system show that the proposed model improves the total profits.

Suggested Citation

  • Xia, Weiyi & Ren, Zhouyang & Qin, Huiling & Dong, ZhaoYang, 2024. "A coordinated operation method for networked hydrogen-power-transportation system," Energy, Elsevier, vol. 296(C).
  • Handle: RePEc:eee:energy:v:296:y:2024:i:c:s0360544224007989
    DOI: 10.1016/j.energy.2024.131026
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    References listed on IDEAS

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    1. Zhou, Bo & Chen, Guo & Song, Qiankun & Dong, Zhao Yang, 2020. "Robust chance-constrained programming approach for the planning of fast-charging stations in electrified transportation networks," Applied Energy, Elsevier, vol. 262(C).
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    4. Jiang, Yunpeng & Ren, Zhouyang & Lu, Chunhao & Li, Hui & Yang, Zhixue, 2024. "A region-based low-carbon operation analysis method for integrated electricity-hydrogen-gas systems," Applied Energy, Elsevier, vol. 355(C).
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    1. Ding, Bing & Li, Zening & Li, Zhengmao & Xue, Yixun & Chang, Xinyue & Su, Jia & Jin, Xiaolong & Sun, Hongbin, 2024. "A CCP-based distributed cooperative operation strategy for multi-agent energy systems integrated with wind, solar, and buildings," Applied Energy, Elsevier, vol. 365(C).

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