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A planning method for park-level integrated energy system based on system integration theory

Author

Listed:
  • Wang, Huiyuan
  • Jia, Chaoyu
  • Jia, Hongjie
  • Mu, Yunfei
  • Xu, Xiandong
  • Yu, Xiaodan

Abstract

System integration has attracted a wide range of interest in various fields to explore synergistic benefits among different independent systems or elements. As a prosperous application, the park-level integrated energy system (PIES) integrates electricity, heat and natural gas supply systems to improve the overall energy utilization efficiency on the user side. However, the planning of the PIES faces challenges such as the interaction of long-term and short-term uncertainties, lack of adaptivity, and improper optimization methods. Therefore, a planning method for the PIES based on system integration theory is proposed in this paper. Firstly, the concepts and elements of system integration theory are defined and introduced. On this basis, an integration framework for the PIES planning is constructed, which coordinates dynamic planning, evaluation and local adjustment during the whole integration time. Then, integration optimization models consisting of the global optimization model (OPT3), stage optimization model (OPT2), and local optimization model (OPT1) are established, which work collaboratively under the integration framework. OPT3 governs the entire integration process to achieve the maximum integration value. At the beginning of each stage, OPT2 optimizes the investment and operation strategies. Furthermore, at each local adjustment point within the stage, OPT1 evaluates the current integration scheme and optimizes adjustment strategies. OPT2 and OPT1 are called repeatedly in a rolling way to update the integration scheme dynamically with the progress of integration, reducing the impact of long-term uncertainties. At the same time, to handle short-term uncertainties of multi-energy loads and renewable energy sources, appropriate optimization methods are selected adaptively to solve OPT2 and OPT1 according to actual conditions and requirements. The deterministic optimization, stochastic optimization and robust optimization-based OPT2 and OPT1 are constructed for demonstration. Finally, the effectiveness of the proposed method is verified. The simulation results demonstrate that the proposed method obtains a more cost-effective scheme compared to the multi-stage-based and multi-stage rolling-based methods, with reductions of 5.23 % and 4.25 %, respectively.

Suggested Citation

  • Wang, Huiyuan & Jia, Chaoyu & Jia, Hongjie & Mu, Yunfei & Xu, Xiandong & Yu, Xiaodan, 2025. "A planning method for park-level integrated energy system based on system integration theory," Applied Energy, Elsevier, vol. 388(C).
    • Handle: RePEc:eee:appene:v:388:y:2025:i:c:s0306261925003927
    DOI: 10.1016/j.apenergy.2025.125662
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    as
    1. Li, Pei-Hao & Pye, Steve & Keppo, Ilkka, 2020. "Using clustering algorithms to characterise uncertain long-term decarbonisation pathways," Applied Energy, Elsevier, vol. 268(C).
    2. Walker, Paul D. & Roser, Holger M., 2015. "Energy consumption and cost analysis of hybrid electric powertrain configurations for two wheelers," Applied Energy, Elsevier, vol. 146(C), pages 279-287.
    3. Wang, Yongli & Wang, Yudong & Huang, Yujing & Yang, Jiale & Ma, Yuze & Yu, Haiyang & Zeng, Ming & Zhang, Fuwei & Zhang, Yanfu, 2019. "Operation optimization of regional integrated energy system based on the modeling of electricity-thermal-natural gas network," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    4. Liu, Chunming & Wang, Chunling & Yin, Yujun & Yang, Peihong & Jiang, Hui, 2022. "Bi-level dispatch and control strategy based on model predictive control for community integrated energy system considering dynamic response performance," Applied Energy, Elsevier, vol. 310(C).
    5. Wu, Xuewei & Zhang, Bin & Nielsen, Mads Pagh & Chen, Zhe, 2024. "Multi-stage planning of integrated electricity-gas-heating system in the context of carbon emission reduction," Applied Energy, Elsevier, vol. 358(C).
    6. Ricarda B. Bouncken & Sascha Kraus & Norat Roig-Tierno, 2021. "Knowledge- and innovation-based business models for future growth: digitalized business models and portfolio considerations," Review of Managerial Science, Springer, vol. 15(1), pages 1-14, January.
    7. Zhang, Chaoyi & Jiao, Zaibin & Liu, Junshan & Ning, Keer, 2023. "Robust planning and economic analysis of park-level integrated energy system considering photovoltaic/thermal equipment," Applied Energy, Elsevier, vol. 348(C).
    8. Xu, Weiwei & Zhou, Dan & Huang, Xiaoming & Lou, Boliang & Liu, Dong, 2020. "Optimal allocation of power supply systems in industrial parks considering multi-energy complementarity and demand response," Applied Energy, Elsevier, vol. 275(C).
    9. Mu, Yunfei & Chen, Wanqing & Yu, Xiaodan & Jia, Hongjie & Hou, Kai & Wang, Congshan & Meng, Xianjun, 2020. "A double-layer planning method for integrated community energy systems with varying energy conversion efficiencies," Applied Energy, Elsevier, vol. 279(C).
    10. Bogdanov, Dmitrii & Gulagi, Ashish & Fasihi, Mahdi & Breyer, Christian, 2021. "Full energy sector transition towards 100% renewable energy supply: Integrating power, heat, transport and industry sectors including desalination," Applied Energy, Elsevier, vol. 283(C).
    11. Pan, Chenyun & Fan, Hongtao & Zhang, Ruixiang & Sun, Jie & Wang, Yu & Sun, Yaojie, 2023. "An improved multi-timescale coordinated control strategy for an integrated energy system with a hybrid energy storage system," Applied Energy, Elsevier, vol. 343(C).
    12. Wei, Zhinong & Yang, Li & Chen, Sheng & Ma, Zhoujun & Zang, Haixiang & Fei, Youdie, 2022. "A multi-stage planning model for transitioning to low-carbon integrated electric power and natural gas systems," Energy, Elsevier, vol. 254(PC).
    13. Mu, Yunfei & Wang, Congshan & Cao, Yan & Jia, Hongjie & Zhang, Qingzhu & Yu, Xiaodan, 2022. "A CVaR-based risk assessment method for park-level integrated energy system considering the uncertainties and correlation of energy prices," Energy, Elsevier, vol. 247(C).
    14. Zhang, Shizhong & Pei, Wei & Xiao, Hao & Yang, Yanhong & Ye, Hua & Kong, Li, 2020. "Enhancing the survival time of multiple islanding microgrids through composable modular energy router after natural disasters," Applied Energy, Elsevier, vol. 270(C).
    15. Zhang, Juntao & Cheng, Chuntian & Yu, Shen & Su, Huaying, 2022. "Chance-constrained co-optimization for day-ahead generation and reserve scheduling of cascade hydropower–variable renewable energy hybrid systems," Applied Energy, Elsevier, vol. 324(C).
    16. Gabriele Lobaccaro & Salvatore Carlucci & Erica Löfström, 2016. "A Review of Systems and Technologies for Smart Homes and Smart Grids," Energies, MDPI, vol. 9(5), pages 1-33, May.
    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. Lei, Yang & Wang, Dan & Jia, Hongjie & Li, Jiaxi & Chen, Jingcheng & Li, Jingru & Yang, Zhihong, 2021. "Multi-stage stochastic planning of regional integrated energy system based on scenario tree path optimization under long-term multiple uncertainties," Applied Energy, Elsevier, vol. 300(C).
    19. 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).
    20. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    21. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "A review of uncertainty characterisation approaches for the optimal design of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 258-277.
    22. Huang, Hongxu & Li, Zhengmao & Beng Gooi, Hoay & Qiu, Haifeng & Zhang, Xiaotong & Lv, Chaoxian & Liang, Rui & Gong, Dunwei, 2023. "Distributionally robust energy-transportation coordination in coal mine integrated energy systems," Applied Energy, Elsevier, vol. 333(C).
    23. Zhao, Bo & Ren, Junzhi & Chen, Jian & Lin, Da & Qin, Ruwen, 2020. "Tri-level robust planning-operation co-optimization of distributed energy storage in distribution networks with high PV penetration," Applied Energy, Elsevier, vol. 279(C).
    24. Chen, Changming & Wu, Xueyan & Li, Yan & Zhu, Xiaojun & Li, Zesen & Ma, Jien & Qiu, Weiqiang & Liu, Chang & Lin, Zhenzhi & Yang, Li & Wang, Qin & Ding, Yi, 2021. "Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages," Applied Energy, Elsevier, vol. 302(C).
    25. Yuyang Zhao & Yifan Wei & Shuaiqi Zhang & Yingjun Guo & Hexu Sun, 2024. "Multi-Objective Robust Optimization of Integrated Energy System with Hydrogen Energy Storage," Energies, MDPI, vol. 17(5), pages 1-20, February.
    26. Yang, Xinyi & Li, Yaowang & Liu, Ziwen & Zhang, Shixu & Liu, Yuliang & Zhang, Ning, 2023. "Optimal planning of energy storage system under the business model of cloud energy storage considering system inertia support and the electricity-heat coordination," Applied Energy, Elsevier, vol. 349(C).
    27. Fragkos, Panagiotis & Laura van Soest, Heleen & Schaeffer, Roberto & Reedman, Luke & Köberle, Alexandre C. & Macaluso, Nick & Evangelopoulou, Stavroula & De Vita, Alessia & Sha, Fu & Qimin, Chai & Kej, 2021. "Energy system transitions and low-carbon pathways in Australia, Brazil, Canada, China, EU-28, India, Indonesia, Japan, Republic of Korea, Russia and the United States," Energy, Elsevier, vol. 216(C).
    28. Bogdanov, Dmitrii & Ram, Manish & Aghahosseini, Arman & Gulagi, Ashish & Oyewo, Ayobami Solomon & Child, Michael & Caldera, Upeksha & Sadovskaia, Kristina & Farfan, Javier & De Souza Noel Simas Barbos, 2021. "Low-cost renewable electricity as the key driver of the global energy transition towards sustainability," Energy, Elsevier, vol. 227(C).
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