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Optimal scheduling of electro-thermal system considering refined demand response and source-load-storage cooperative hydrogen production

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  • Yang, Lijun
  • Jiang, Yaning
  • Chong, Zhenxiao

Abstract

How to further increase the level of wind power consumption is a hot research topic in constructing new power systems around the world. It's a consensus that the electrolytic hydrogen production's participation in the power system can further improve the consumption of new energy. This paper proposes a new optimal scheduling strategy for the electro-thermal system, considering refined demand response and source-load-storage cooperative hydrogen production to increase the large-scale wind power consumption. Firstly, to alleviate the impact of wind power fluctuations on hydrogen production, a “wind-storage” combined hydrogen production module is proposed based on the characteristics of hydrogen energy to ensure the safe operation. Secondly, a refined demand response model is built to optimize the electric load curve through price and incentive guidance, to improve the flexibility of “source-load” coordination deeply. Then, to address the issue of wind power competition caused by benefits conflicts of system operation and hydrogen production, a Bi-level scheduling model of source-load-storage cooperative operation is established to achieve the maximum tracking of wind power, while ensure the interests of both sides. Simulation results show that the proposed strategy can balance the system operation cost and hydrogen production benefits, improve hydrogen revenue by 24%. And even if the capacity of hydrogen production device is low, 100% consumption of wind power can be achieved. This study is heuristic for the large-scale wind power consumption in the multi-energy coupled environment, and provides an idea for operation of new energy power system.

Suggested Citation

  • Yang, Lijun & Jiang, Yaning & Chong, Zhenxiao, 2023. "Optimal scheduling of electro-thermal system considering refined demand response and source-load-storage cooperative hydrogen production," Renewable Energy, Elsevier, vol. 215(C).
    • Handle: RePEc:eee:renene:v:215:y:2023:i:c:s096014812300736x
    DOI: 10.1016/j.renene.2023.05.103
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    1. Xiaozhi Gao & Han Xiao & Shiwei Xu & Hsiung-Cheng Lin & Pengyu Chang, 2024. "What Is the Optimal Solution for Scheduling Multiple Energy Systems? Overview and Analysis of Integrated Energy Co-Dispatch Models," Energies, MDPI, vol. 17(18), pages 1-25, September.
    2. Wu, Qiong & Chen, Min & Ren, Hongbo & Li, Qifen & Gao, Weijun, 2024. "Collaborative modeling and optimization of energy hubs and multi-energy network considering hydrogen energy," Renewable Energy, Elsevier, vol. 227(C).

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