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Capacity optimal configuration and collaborative planning of multi-region integrated energy system

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  • Zhang, Zhaoyan
  • Jiang, Ping
  • Liu, Zhibin
  • Fu, Lei
  • Wang, Peiguang

Abstract

At present, the integrated energy system (IES) is designed and built separately according to the peak load of respective regions, without considering the combination of multi-regional energy, which will lead to low energy efficiency of equipment and decline of economic benefits. In this paper, considering heating networks, a multi-region IES collaborative planning model is proposed. For the ring-shaped heating network between the various regional CCHP systems, a heating network model is established considering the node flow balance, thermal energy-flow constraint and thermal loss balance constraint. Combining the energy balance constraint of the CCHP system and the heating network model, a mixed integer linear programming (MILP) model of the capacity of the multi-region CCHP system for the collaborative optimization is established. Finally, a comprehensive area in China Xiongan New Area is taken as an example for simulation analysis. In view of the four types of users, including business area, office area, residential area, industrial area, the two scenarios are deeply compared and analyzed. The saving rate of scenario 2 compared with scenario 1 is about 8.95%. The multi-region collaborative planning and optimize operation in this paper can greatly improve gas turbine utilization, reduce gas boiler configuration capacity, minimize thermal energy transmission loss, and significantly reduce operating costs.

Suggested Citation

  • Zhang, Zhaoyan & Jiang, Ping & Liu, Zhibin & Fu, Lei & Wang, Peiguang, 2023. "Capacity optimal configuration and collaborative planning of multi-region integrated energy system," Energy, Elsevier, vol. 278(PB).
    • Handle: RePEc:eee:energy:v:278:y:2023:i:pb:s0360544223013646
    DOI: 10.1016/j.energy.2023.127970
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    as
    1. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    2. Hossain, Md Alamgir & Pota, Hemanshu Roy & Squartini, Stefano & Zaman, Forhad & Guerrero, Josep M., 2019. "Energy scheduling of community microgrid with battery cost using particle swarm optimisation," Applied Energy, Elsevier, vol. 254(C).
    3. Harder, Nick & Qussous, Ramiz & Weidlich, Anke, 2020. "The cost of providing operational flexibility from distributed energy resources," Applied Energy, Elsevier, vol. 279(C).
    4. Sarid, A. & Tzur, M., 2018. "The multi-scale generation and transmission expansion model," Energy, Elsevier, vol. 148(C), pages 977-991.
    5. Yuan, Meng & Sorknæs, Peter & Lund, Henrik & Liang, Yongtu, 2022. "The bidding strategies of large-scale battery storage in 100% renewable smart energy systems," Applied Energy, Elsevier, vol. 326(C).
    6. Huang, Xiaojian & Lu, Pei & Luo, Xianglong & Chen, Jianyong & Yang, Zhi & Liang, Yingzong & Wang, Chao & Chen, Ying, 2020. "Synthesis and simultaneous MINLP optimization of heat exchanger network, steam Rankine cycle, and organic Rankine cycle," Energy, Elsevier, vol. 195(C).
    7. Perera, A.T.D. & Nik, Vahid M. & Wickramasinghe, P.U. & Scartezzini, Jean-Louis, 2019. "Redefining energy system flexibility for distributed energy system design," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    8. Takeshita, Takuma & Aki, Hirohisa & Kawajiri, Kotaro & Ishida, Masayoshi, 2021. "Assessment of utilization of combined heat and power systems to provide grid flexibility alongside variable renewable energy systems," Energy, Elsevier, vol. 214(C).
    9. Alva, Guruprasad & Lin, Yaxue & Fang, Guiyin, 2018. "An overview of thermal energy storage systems," Energy, Elsevier, vol. 144(C), pages 341-378.
    10. Song, Zhihui & Liu, Tao & Lin, Qizhao, 2020. "Multi-objective optimization of a solar hybrid CCHP system based on different operation modes," Energy, Elsevier, vol. 206(C).
    11. Wang, Jiangjiang & Han, Zepeng & Guan, Zhimin, 2020. "Hybrid solar-assisted combined cooling, heating, and power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    12. van der Stelt, Sander & AlSkaif, Tarek & van Sark, Wilfried, 2018. "Techno-economic analysis of household and community energy storage for residential prosumers with smart appliances," Applied Energy, Elsevier, vol. 209(C), pages 266-276.
    13. Koirala, Binod Prasad & van Oost, Ellen & van der Windt, Henny, 2018. "Community energy storage: A responsible innovation towards a sustainable energy system?," Applied Energy, Elsevier, vol. 231(C), pages 570-585.
    14. Østergaard, Poul Alberg & Werner, Sven & Dyrelund, Anders & Lund, Henrik & Arabkoohsar, Ahmad & Sorknæs, Peter & Gudmundsson, Oddgeir & Thorsen, Jan Eric & Mathiesen, Brian Vad, 2022. "The four generations of district cooling - A categorization of the development in district cooling from origin to future prospect," Energy, Elsevier, vol. 253(C).
    15. Mehrjerdi, Hasan, 2020. "Peer-to-peer home energy management incorporating hydrogen storage system and solar generating units," Renewable Energy, Elsevier, vol. 156(C), pages 183-192.
    16. Jing, Rui & Wang, Meng & Zhang, Zhihui & Wang, Xiaonan & Li, Ning & Shah, Nilay & Zhao, Yingru, 2019. "Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    17. Ma, Jiaze & Chang, Chenglin & Wang, Yufei & Feng, Xiao, 2018. "Multi-objective optimization of multi-period interplant heat integration using steam system," Energy, Elsevier, vol. 159(C), pages 950-960.
    18. Zhang, Zhaoyan & Wang, Peiguang & Jiang, Ping & Liu, Zhiheng & Fu, Lei, 2022. "Energy management of ultra-short-term optimal scheduling of integrated energy system considering the characteristics of heating network," Energy, Elsevier, vol. 240(C).
    19. Ortiz, C. & Romano, M.C. & Valverde, J.M. & Binotti, M. & Chacartegui, R., 2018. "Process integration of Calcium-Looping thermochemical energy storage system in concentrating solar power plants," Energy, Elsevier, vol. 155(C), pages 535-551.
    20. Terlouw, Tom & AlSkaif, Tarek & Bauer, Christian & van Sark, Wilfried, 2019. "Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies," Applied Energy, Elsevier, vol. 239(C), pages 356-372.
    21. Zhou, Yuan & Wang, Jiangjiang & Dong, Fuxiang & Qin, Yanbo & Ma, Zherui & Ma, Yanpeng & Li, Jianqiang, 2021. "Novel flexibility evaluation of hybrid combined cooling, heating and power system with an improved operation strategy," Applied Energy, Elsevier, vol. 300(C).
    22. Starke, Allan R. & Cardemil, José M. & Escobar, Rodrigo & Colle, Sergio, 2018. "Multi-objective optimization of hybrid CSP+PV system using genetic algorithm," Energy, Elsevier, vol. 147(C), pages 490-503.
    23. Li, Fan & Sun, Bo & Zhang, Chenghui & Zhang, Lizhi, 2018. "Operation optimization for combined cooling, heating, and power system with condensation heat recovery," Applied Energy, Elsevier, vol. 230(C), pages 305-316.
    24. Renaldi, Renaldi & Friedrich, Daniel, 2019. "Techno-economic analysis of a solar district heating system with seasonal thermal storage in the UK," Applied Energy, Elsevier, vol. 236(C), pages 388-400.
    25. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2021. "Multi-objective optimization and evaluation of hybrid CCHP systems for different building types," Energy, Elsevier, vol. 215(PA).
    26. Hemmati, Reza & Mehrjerdi, Hasan & Bornapour, Mosayeb, 2020. "Hybrid hydrogen-battery storage to smooth solar energy volatility and energy arbitrage considering uncertain electrical-thermal loads," Renewable Energy, Elsevier, vol. 154(C), pages 1180-1187.
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