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Wind-photovoltaic co-generation prediction and energy scheduling of low-carbon complex regional integrated energy system with hydrogen industry chain based on copula-MILP

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  • Gao, Chong
  • Lin, Junjie
  • Zeng, Jianfeng
  • Han, Fengwu

Abstract

The application of hydrogen is promising for achieving carbon neutrality. To promote hydrogen utilization and carbon emission reduction, this paper attempts to integrate the hydrogen industry chain, carbon capture and storage (CCS) into a regional integrated energy system (forming a complex regional integrated energy system (CRIES)) and proposes an energy scheduling model for optimizing CRIES operation considering wind and photovoltaic co-generation (WT-PV) uncertainties. Firstly, to measure the uncertainties of WT-PV, the Wasserstein distance with better geometric properties is introduced to select the best Copula to model the correlation between wind and photovoltaic generation and to generate a typical scenario of WT-PV for each season. Secondly, based on MILP, the system is modularly modeled considering the pressure difference of various gases, the time interval of carbon capture and natural gas synthesis, and the energy coupling relationship. Finally, based on the above WT-PV prediction and modeling, the energy dispatch status in each season is investigated, and the economics of the proposed system is verified in the minimum hydrogen demand variation of hydrogen metallurgy plant, hydrogen blending ratio, and uncertainties of electric vehicles and hydrogen vehicles loads. Results show that 1) hydrogen-rich natural gas improves system’s energy use efficiency, CCS weakens system’s dependence on the upstream natural gas network, and the multi-energy coupling improves system’s arbitrage ability under different prices; 2) hydrogen is richest in the summer, causing system’s revenue to be 8.54%–32.17% and 29.29%–244.21% higher than in the transition season and winter. 3) zero-carbon energy interaction with the outside world and fully accommodating WT-PV are achieved by integrating the hydrogen industry chain; 4) the proposed CRIES operates reliably and economically under multiple uncertainties.

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  • Gao, Chong & Lin, Junjie & Zeng, Jianfeng & Han, Fengwu, 2022. "Wind-photovoltaic co-generation prediction and energy scheduling of low-carbon complex regional integrated energy system with hydrogen industry chain based on copula-MILP," Applied Energy, Elsevier, vol. 328(C).
    • Handle: RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014623
    DOI: 10.1016/j.apenergy.2022.120205
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    1. Wei, Hongqian & Zhang, Youtong & Wang, Yongzhen & Hua, Weiqi & Jing, Rui & Zhou, Yue, 2022. "Planning integrated energy systems coupling V2G as a flexible storage," Energy, Elsevier, vol. 239(PB).
    2. Li, Jinghua & Fang, Jiakun & Zeng, Qing & Chen, Zhe, 2016. "Optimal operation of the integrated electrical and heating systems to accommodate the intermittent renewable sources," Applied Energy, Elsevier, vol. 167(C), pages 244-254.
    3. Qiu, Yue & Zhou, Suyang & Wang, Jihua & Chou, Jun & Fang, Yunhui & Pan, Guangsheng & Gu, Wei, 2020. "Feasibility analysis of utilising underground hydrogen storage facilities in integrated energy system: Case studies in China," Applied Energy, Elsevier, vol. 269(C).
    4. Wang, Yongli & Wang, Yudong & Huang, Yujing & Li, Fang & Zeng, Ming & Li, Jiapu & Wang, Xiaohai & Zhang, Fuwei, 2019. "Planning and operation method of the regional integrated energy system considering economy and environment," Energy, Elsevier, vol. 171(C), pages 731-750.
    5. Cesare Saccani & Marco Pellegrini & Alessandro Guzzini, 2020. "Analysis of the Existing Barriers for the Market Development of Power to Hydrogen (P2H) in Italy," Energies, MDPI, vol. 13(18), pages 1-29, September.
    6. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    7. Zhang, Dongdong & Zhu, Hongyu & Zhang, Hongcai & Goh, Hui Hwang & Liu, Hui & Wu, Thomas, 2022. "An optimized design of residential integrated energy system considering the power-to-gas technology with multi-functional characteristics," Energy, Elsevier, vol. 238(PA).
    8. Mansour-Saatloo, Amin & Pezhmani, Yasin & Mirzaei, Mohammad Amin & Mohammadi-Ivatloo, Behnam & Zare, Kazem & Marzband, Mousa & Anvari-Moghaddam, Amjad, 2021. "Robust decentralized optimization of Multi-Microgrids integrated with Power-to-X technologies," Applied Energy, Elsevier, vol. 304(C).
    9. Wen Fan & Qing Liu & Mingyu Wang, 2021. "Bi-Level Multi-Objective Optimization Scheduling for Regional Integrated Energy Systems Based on Quantum Evolutionary Algorithm," Energies, MDPI, vol. 14(16), pages 1-15, August.
    10. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization," Energy, Elsevier, vol. 244(PA).
    11. Fu, Xueqian & Sun, Hongbin & Guo, Qinglai & Pan, Zhaoguang & Xiong, Wen & Wang, Li, 2017. "Uncertainty analysis of an integrated energy system based on information theory," Energy, Elsevier, vol. 122(C), pages 649-662.
    12. Wang, Yuwei & Yang, Yuanjuan & Fei, Haoran & Song, Minghao & Jia, Mengyao, 2022. "Wasserstein and multivariate linear affine based distributionally robust optimization for CCHP-P2G scheduling considering multiple uncertainties," Applied Energy, Elsevier, vol. 306(PA).
    13. López-Escalante, M.C. & Fernández-Rodríguez, M. & Caballero, L.J. & Martín, F. & Gabás, M. & Ramos-Barrado, J.R., 2018. "Novel encapsulant architecture on the road to photovoltaic module power output increase," Applied Energy, Elsevier, vol. 228(C), pages 1901-1910.
    14. Bo Wang & Liming Zhang & Hengrui Ma & Hongxia Wang & Shaohua Wan, 2019. "Parallel LSTM-Based Regional Integrated Energy System Multienergy Source-Load Information Interactive Energy Prediction," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    15. Coppitters, Diederik & Verleysen, Kevin & De Paepe, Ward & Contino, Francesco, 2022. "How can renewable hydrogen compete with diesel in public transport? Robust design optimization of a hydrogen refueling station under techno-economic and environmental uncertainty," Applied Energy, Elsevier, vol. 312(C).
    16. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
    17. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
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    Cited by:

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    3. Jorge Sousa & Inês Azevedo & Cristina Camus & Luís Mendes & Carla Viveiros & Filipe Barata, 2024. "Decarbonizing Hard-to-Abate Sectors with Renewable Hydrogen: A Real Case Application to the Ceramics Industry," Energies, MDPI, vol. 17(15), pages 1-15, July.
    4. Huang, Shangjiu & Lu, Hao & Chen, Maozhi & Zhao, Wenjun, 2023. "Integrated energy system scheduling considering the correlation of uncertainties," Energy, Elsevier, vol. 283(C).
    5. Li, Yuxuan & Zhang, Junli & Wu, Xiao & Shen, Jiong & Maréchal, François, 2023. "Stochastic-robust planning optimization method based on tracking-economy extreme scenario tradeoff for CCHP multi-energy system," Energy, Elsevier, vol. 283(C).
    6. Gao, Jianwei & Meng, Qichen & Liu, Jiangtao & Wang, Ziying, 2024. "Thermoelectric optimization of integrated energy system considering wind-photovoltaic uncertainty, two-stage power-to-gas and ladder-type carbon trading," Renewable Energy, Elsevier, vol. 221(C).
    7. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Zhao, Yunlong & Gao, Chong, 2023. "A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games," Applied Energy, Elsevier, vol. 350(C).
    8. Zhang, Jinliang & Liu, Ziyi, 2024. "Low carbon economic scheduling model for a park integrated energy system considering integrated demand response, ladder-type carbon trading and fine utilization of hydrogen," Energy, Elsevier, vol. 290(C).
    9. 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).

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