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Capacity planning and optimization of business park-level integrated energy system based on investment constraints

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  • Wang, Yongli
  • Li, Ruiwen
  • Dong, Huanran
  • Ma, Yuze
  • Yang, Jiale
  • Zhang, Fuwei
  • Zhu, Jinrong
  • Li, Shuqing

Abstract

Through the coordination and complementarity of multiple energy sources, the optimal capacity planning of integrated energy system under limited financial constraints can promote the local absorption of renewable energy, realize the optimal utilization of resources and improve the utilization rate of comprehensive energy. Aiming at the integrated energy system formed by multi-energy coupling, this paper adopts three investment restraint schemes, simulates the economic operation of the system based on typical daily load characteristic curves in different seasons, and establishes an optimal capacity allocation model of the integrated energy system taking into account the investment cost restraint and minimizing the total annual cost and carbon dioxide emissions. Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Technology for Order Preference by Similarity to an Ideal Solution (TOPSIS) are used to optimize the solution. Finally, a park in Beijing is taken as an example to verify the model optimization results and the actual results. The deviation of the target results is less than 5%. This study realizes the scientific capacity allocation of integrated energy system, and provides theoretical basis and technical support for the planning and design of integrated energy system.

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  • Wang, Yongli & Li, Ruiwen & Dong, Huanran & Ma, Yuze & Yang, Jiale & Zhang, Fuwei & Zhu, Jinrong & Li, Shuqing, 2019. "Capacity planning and optimization of business park-level integrated energy system based on investment constraints," Energy, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219320407
    DOI: 10.1016/j.energy.2019.116345
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    8. Sun, Jingqi & Ruze, Nuermaimaiti & Zhang, Jianjun & Shi, Jing & Shen, Boyang, 2021. "Capacity planning and optimization for integrated energy system in industrial park considering environmental externalities," Renewable Energy, Elsevier, vol. 167(C), pages 56-65.
    9. Jiang, Qian & Mu, Yunfei & Jia, Hongjie & Cao, Yan & Wang, Zibo & Wei, Wei & Hou, Kai & Yu, Xiaodan, 2022. "A Stackelberg Game-based planning approach for integrated community energy system considering multiple participants," Energy, Elsevier, vol. 258(C).
    10. He, Shuaijia & Gao, Hongjun & Wang, Lingfeng & Xiang, Yingmeng & Liu, Junyong, 2020. "Distributionally robust planning for integrated energy systems incorporating electric-thermal demand response," Energy, Elsevier, vol. 213(C).
    11. Wang, Yongli & Ma, Yuze & Song, Fuhao & Ma, Yang & Qi, Chengyuan & Huang, Feifei & Xing, Juntai & Zhang, Fuwei, 2020. "Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response," Energy, Elsevier, vol. 205(C).
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    14. Yi, Liqi & Li, Tao & Zhang, Ting, 2021. "Optimal investment selection of regional integrated energy system under multiple strategic objectives portfolio," Energy, Elsevier, vol. 218(C).
    15. Wang, Yongli & Liu, Zhen & Cai, Chengcong & Xue, Lu & Ma, Yang & Shen, Hekun & Chen, Xin & Liu, Lin, 2022. "Research on the optimization method of integrated energy system operation with multi-subject game," Energy, Elsevier, vol. 245(C).
    16. Shang, Jingyi & Gao, Jinfeng & Jiang, Xin & Liu, Mingguang & Liu, Dunnan, 2023. "Optimal configuration of hybrid energy systems considering power to hydrogen and electricity-price prediction: A two-stage multi-objective bi-level framework," Energy, Elsevier, vol. 263(PF).
    17. Wu, Min & Xu, Jiazhu & Zeng, Linjun & Li, Chang & Liu, Yuxing & Yi, Yuqin & Wen, Ming & Jiang, Zhuohan, 2022. "Two-stage robust optimization model for park integrated energy system based on dynamic programming," Applied Energy, Elsevier, vol. 308(C).
    18. Qiao, Yiyang & Hu, Fan & Xiong, Wen & Guo, Zihao & Zhou, Xiaoguang & Li, Yajun, 2023. "Multi-objective optimization of integrated energy system considering installation configuration," Energy, Elsevier, vol. 263(PC).
    19. Wang, Yongli & Huang, Feifei & Tao, Siyi & Ma, Yang & Ma, Yuze & Liu, Lin & Dong, Fugui, 2022. "Multi-objective planning of regional integrated energy system aiming at exergy efficiency and economy," Applied Energy, Elsevier, vol. 306(PB).
    20. Zhang, Guoqing & Wang, Jiangjiang & Ren, Fukang & Liu, Yi & Dong, Fuxiang, 2021. "Collaborative optimization for multiple energy stations in distributed energy network based on electricity and heat interchanges," Energy, Elsevier, vol. 222(C).

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