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Inter-Zone Optimal Scheduling of Rural Wind–Biomass-Hydrogen Integrated Energy System

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  • Mingguang Zhang

    (College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

  • Shuai Yu

    (College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

  • Hongyi Li

    (College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

Abstract

To solve the problems of low utilization of biomass and uncertainty and intermittency of wind power (WP) in rural winter, an interval optimization model of a rural integrated energy system with biogas fermentation and electrolytic hydrogen production is constructed in this paper. Firstly, a biogas fermentation kinetic model and a biogas hydrogen blending model are developed. Secondly, the interval number is used to describe the uncertainty of WP, and an interval optimization scheduling model is developed to minimize daily operating cost. Finally, a rural integrated energy system in Northeast China is taken as an example, and a sensitivity analysis of electricity price, gas production, and biomass price is conducted. The simulation results show that the proposed strategy can significantly reduce the wind abandonment rate and improve the economy by 3.8–22.3% compared with conventional energy storage under optimal dispatch.

Suggested Citation

  • Mingguang Zhang & Shuai Yu & Hongyi Li, 2023. "Inter-Zone Optimal Scheduling of Rural Wind–Biomass-Hydrogen Integrated Energy System," Energies, MDPI, vol. 16(17), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6202-:d:1225840
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    1. O'Shea, Richard & Wall, David M. & Kilgallon, Ian & Browne, James D. & Murphy, Jerry D., 2017. "Assessing the total theoretical, and financially viable, resource of biomethane for injection to a natural gas network in a region," Applied Energy, Elsevier, vol. 188(C), pages 237-256.
    2. Zhao, Fei & Li, Yalou & Zhou, Xiaoxin & Wang, Dandan & Wei, Yawei & Li, Fang, 2023. "Co-optimization of decarbonized operation of coal-fired power plants and seasonal storage based on green ammonia co-firing," Applied Energy, Elsevier, vol. 341(C).
    3. Zare, A. Darabadi & Saray, R. Khoshbakhti & Mirmasoumi, S. & Bahlouli, K., 2019. "Optimization strategies for mixing ratio of biogas and natural gas co-firing in a cogeneration of heat and power cycle," Energy, Elsevier, vol. 181(C), pages 635-644.
    4. Karaca, Ali Erdogan & Dincer, Ibrahim & Nitefor, Michael, 2023. "A new renewable energy system integrated with compressed air energy storage and multistage desalination," Energy, Elsevier, vol. 268(C).
    5. Jiang, Tao & Li, Xue & Kou, Xiao & Zhang, Rufeng & Tian, Guoda & Li, Fangxing, 2022. "Available transfer capability evaluation in electricity-dominated integrated hybrid energy systems with uncertain wind power: An interval optimization solution," Applied Energy, Elsevier, vol. 314(C).
    6. Liu, Jia & Zhou, Yuekuan & Yang, Hongxing & Wu, Huijun, 2022. "Net-zero energy management and optimization of commercial building sectors with hybrid renewable energy systems integrated with energy storage of pumped hydro and hydrogen taxis," Applied Energy, Elsevier, vol. 321(C).
    7. Xu, Da & Yuan, Zhe-Li & Bai, Ziyi & Wu, Zhibin & Chen, Shuangyin & Zhou, Ming, 2022. "Optimal operation of geothermal-solar-wind renewables for community multi-energy supplies," Energy, Elsevier, vol. 249(C).
    8. Su, Xing & Shao, Xiaolu & Geng, Yining & Tian, Shaochen & Huang, Yixiang, 2022. "Optimization of feedstock and insulating strategies to enhance biogas production of solar-assisted biodigester system," Renewable Energy, Elsevier, vol. 197(C), pages 59-68.
    9. Dong, Yingchao & Zhang, Hongli & Ma, Ping & Wang, Cong & Zhou, Xiaojun, 2023. "A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties," Energy, Elsevier, vol. 274(C).
    10. Bai, Linquan & Li, Fangxing & Cui, Hantao & Jiang, Tao & Sun, Hongbin & Zhu, Jinxiang, 2016. "Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 270-279.
    11. Bui, Van Ga & Tu Bui, Thi Minh & Ong, Hwai Chyuan & Nižetić, Sandro & Bui, Van Hung & Xuan Nguyen, Thi Thanh & Atabani, A.E. & Štěpanec, Libor & Phu Pham, Le Hoang & Hoang, Anh Tuan, 2022. "Optimizing operation parameters of a spark-ignition engine fueled with biogas-hydrogen blend integrated into biomass-solar hybrid renewable energy system," Energy, Elsevier, vol. 252(C).
    12. Wu, Qunli & Li, Chunxiang, 2023. "Modeling and operation optimization of hydrogen-based integrated energy system with refined power-to-gas and carbon-capture-storage technologies under carbon trading," Energy, Elsevier, vol. 270(C).
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