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Bi-level strategic bidding model of novel virtual power plant aggregating waste gasification in integrated electricity and hydrogen markets

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  • Jia, Dongqing
  • Li, Xingmei
  • Gong, Xu
  • Lv, Xiaoyan
  • Shen, Zhong

Abstract

Aggregating a waste gasification unit with renewable energy sources (RES) into a virtual power plant (VPP) not only effectively reduces the negative impacts of renewable energy sources and improves the performance of VPP in the electricity market, but also participates in the hydrogen market by purifying the hydrogen in the syngas produced after gasification. A market bidding strategy that improves the profitability of the system is the basis for sustainable VPP. Based on this, this paper for the first time aggregates a waste gasification unit with RES into a VPP named WtE-VPP. Then, considering that the WtE-VPP system can generate both electricity and hydrogen and their outputs affect each other, this paper constructs a bi-level bidding strategy model for the combined electricity‑hydrogen market. The lower-level model aims to minimize the total social costs of the electricity and hydrogen markets, while the upper-level model aims to maximize the profits of WtE-VPP. Finally, the model is tested on an improved PJM 5-node grid with a 7-node hydrogen network, and the results show that the method is effective in reflecting strategic behaviors of WtE-VPP. Compared to participation in a single electricity market, the total benefits of WtE-VPP participation in both electricity and hydrogen markets increase by 39.18%.

Suggested Citation

  • Jia, Dongqing & Li, Xingmei & Gong, Xu & Lv, Xiaoyan & Shen, Zhong, 2024. "Bi-level strategic bidding model of novel virtual power plant aggregating waste gasification in integrated electricity and hydrogen markets," Applied Energy, Elsevier, vol. 357(C).
    • Handle: RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018329
    DOI: 10.1016/j.apenergy.2023.122468
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    References listed on IDEAS

    as
    1. Luo, Siyi & Zhou, Yangmin & Yi, Chuijie, 2012. "Syngas production by catalytic steam gasification of municipal solid waste in fixed-bed reactor," Energy, Elsevier, vol. 44(1), pages 391-395.
    2. Li, Xinyu & Mulder, Machiel, 2021. "Value of power-to-gas as a flexibility option in integrated electricity and hydrogen markets," Applied Energy, Elsevier, vol. 304(C).
    3. Subramanian, Navaneethan & Madejski, Paweł, 2023. "Analysis of CO2 capture process from flue-gases in combined cycle gas turbine power plant using post-combustion capture technology," Energy, Elsevier, vol. 282(C).
    4. Choudhary, Tushar & Sanjay,, 2017. "Thermodynamic assessment of SOFC-ICGT hybrid cycle: Energy analysis and entropy generation minimization," Energy, Elsevier, vol. 134(C), pages 1013-1028.
    5. Coelho, António & Iria, José & Soares, Filipe, 2021. "Network-secure bidding optimization of aggregators of multi-energy systems in electricity, gas, and carbon markets," Applied Energy, Elsevier, vol. 301(C).
    6. Zhang, Tianhan & Qiu, Weiqiang & Zhang, Zhi & Lin, Zhenzhi & Ding, Yi & Wang, Yiting & Wang, Lianfang & Yang, Li, 2023. "Optimal bidding strategy and profit allocation method for shared energy storage-assisted VPP in joint energy and regulation markets," Applied Energy, Elsevier, vol. 329(C).
    7. Hanif D. Sherali, 1984. "A Multiple Leader Stackelberg Model and Analysis," Operations Research, INFORMS, vol. 32(2), pages 390-404, April.
    8. Chang, Yue & Jia, Yulong & Hong, Tan, 2023. "Comprehensive analysis and multi-objective optimization of an innovative power generation system using biomass gasification and LNG regasification processes," Energy, Elsevier, vol. 283(C).
    9. Ismail, Mohamed M. & Dincer, Ibrahim, 2023. "A new renewable energy based integrated gasification system for hydrogen production from plastic wastes," Energy, Elsevier, vol. 270(C).
    10. Rezaei, Mahdi & Ghobadian, Barat & Samadi, Seyed Hashem & Karimi, Samira, 2018. "Electric power generation from municipal solid waste: A techno-economical assessment under different scenarios in Iran," Energy, Elsevier, vol. 152(C), pages 46-56.
    11. Wang, Yuting & Chen, Heng & Qiao, Shichao & Pan, Peiyuan & Xu, Gang & Dong, Yuehong & Jiang, Xue, 2023. "A novel methanol-electricity cogeneration system based on the integration of water electrolysis and plasma waste gasification," Energy, Elsevier, vol. 267(C).
    12. Ju, Liwei & Liu, Li & Han, Yingzhu & Yang, Shenbo & Li, Gen & Lu, Xiaolong & Liu, Yi & Qiao, Huiting, 2023. "Robust Multi-objective optimal dispatching model for a novel island micro energy grid incorporating biomass waste energy conversion system, desalination and power-to-hydrogen devices," Applied Energy, Elsevier, vol. 343(C).
    13. Lopes, E.J. & Okamura, L.A. & Maruyama, S.A. & Yamamoto, C.I., 2018. "Evaluation of energy gain from the segregation of organic materials from municipal solid waste in gasification processes," Renewable Energy, Elsevier, vol. 116(PA), pages 623-629.
    14. Kong, Xiangyu & Xiao, Jie & Wang, Chengshan & Cui, Kai & Jin, Qiang & Kong, Deqian, 2019. "Bi-level multi-time scale scheduling method based on bidding for multi-operator virtual power plant," Applied Energy, Elsevier, vol. 249(C), pages 178-189.
    15. Wang, Yuwei & Song, Minghao & Jia, Mengyao & Li, Bingkang & Fei, Haoran & Zhang, Yiyue & Wang, Xuejie, 2023. "Multi-objective distributionally robust optimization for hydrogen-involved total renewable energy CCHP planning under source-load uncertainties," Applied Energy, Elsevier, vol. 342(C).
    16. Ju, Liwei & Tan, Qinliang & Lin, Hongyu & Mei, Shufang & Li, Nan & Lu, Yan & Wang, Yao, 2020. "A two-stage optimal coordinated scheduling strategy for micro energy grid integrating intermittent renewable energy sources considering multi-energy flexible conversion," Energy, Elsevier, vol. 196(C).
    Full references (including those not matched with items on IDEAS)

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    2. Kong, Feng & Zhang, Dongyue & Song, Minghao & Zhou, Xuecong & Wang, Yuwei, 2024. "Collaborative scheduling and benefit allocation for waste-to-energy, hydrogen storage, and power-to-gas under uncertainties with temporal relevance," Energy, Elsevier, vol. 307(C).
    3. Youngkook Song & Myeongju Chae & Yeonouk Chu & Yongtae Yoon & Younggyu Jin, 2024. "Impact of Penalty Structures on Virtual Power Plants in a Day-Ahead Electricity Market," Energies, MDPI, vol. 17(23), pages 1-23, December.
    4. Ju, Liwei & Lv, ShuoShuo & Zhang, Zheyu & Li, Gen & Gan, Wei & Fang, Jiangpeng, 2024. "Data-driven two-stage robust optimization dispatching model and benefit allocation strategy for a novel virtual power plant considering carbon-green certificate equivalence conversion mechanism," Applied Energy, Elsevier, vol. 362(C).

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