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A hybrid time-and-event-driven strategy for integrated community energy system planning

Author

Listed:
  • Qu, Jiawei
  • Hou, Kai
  • Liu, Zeyu
  • Zhou, Yue
  • Zhu, Lewei
  • Dong, Xiaohong
  • Mu, Yunfei
  • Jia, Hongjie

Abstract

Unpredictable events such as technological breakthroughs and energy policy shifts can cause significant errors in the forecast of the parameters like equipment performance and energy demands. Traditional single-stage and fixed multi-stage planning methods struggle with unpredictable events, severely impacting the accuracy of the planning of Integrated Community Energy Systems (ICES). As a solution, a Hybrid Time-and-Event-Driven Multi-Stage Planning (HTED-MSP) method is proposed for ICES. The HTED-MSP method determines the start time of each planning stage based on a combination of time and specific event. Specifically, the event-driven strategy mitigates unpredictable changes in load growth, energy prices, and technological advancements on costs, with trigger conditions determined by marginal cost analysis. Meanwhile, the time-driven strategy enhances long-term reliability of ICES. Considering the significant impact of renewable energy variability and equipment failures on reliability, the HTED-MSP method quantifies these factors using 8760-h normal and N-k contingency scenarios. A State Similarity (SS) method is then proposed to address the computational burden of massive scenarios by simplifying the optimization process into an equation-solving approach. The case study demonstrates that HTED-MSP significantly reduces additional costs caused by unpredictable events. The computational efficiency of the SS method is more than ten times greater than the existing two-stage algorithms.

Suggested Citation

  • Qu, Jiawei & Hou, Kai & Liu, Zeyu & Zhou, Yue & Zhu, Lewei & Dong, Xiaohong & Mu, Yunfei & Jia, Hongjie, 2025. "A hybrid time-and-event-driven strategy for integrated community energy system planning," Applied Energy, Elsevier, vol. 384(C).
  • Handle: RePEc:eee:appene:v:384:y:2025:i:c:s0306261925000042
    DOI: 10.1016/j.apenergy.2025.125274
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    References listed on IDEAS

    as
    1. 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).
    2. Li, Zhengshuo & Guo, Qinglai & Sun, Hongbin & Wang, Jianhui, 2015. "Storage-like devices in load leveling: Complementarity constraints and a new and exact relaxation method," Applied Energy, Elsevier, vol. 151(C), pages 13-22.
    3. Stadler, M. & Groissböck, M. & Cardoso, G. & Marnay, C., 2014. "Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel," Applied Energy, Elsevier, vol. 132(C), pages 557-567.
    4. Li, Peng & Li, Shuang & Yu, Hao & Yan, Jinyue & Ji, Haoran & Wu, Jianzhong & Wang, Chengshan, 2022. "Quantized event-driven simulation for integrated energy systems with hybrid continuous-discrete dynamics," Applied Energy, Elsevier, vol. 307(C).
    5. Cardoso, Gonçalo & Brouhard, Thomas & DeForest, Nicholas & Wang, Dai & Heleno, Miguel & Kotzur, Leander, 2018. "Battery aging in multi-energy microgrid design using mixed integer linear programming," Applied Energy, Elsevier, vol. 231(C), pages 1059-1069.
    6. Shen, Yongting & Hocksun Kwan, Trevor & Yang, Hongxing, 2022. "Parametric and global seasonal analysis of a hybrid PV/T-CCA system for combined CO2 capture and power generation," Applied Energy, Elsevier, vol. 311(C).
    7. Pecenak, Zachary K. & Stadler, Michael & Fahy, Kelsey, 2019. "Efficient multi-year economic energy planning in microgrids," Applied Energy, Elsevier, vol. 255(C).
    8. Davoudkhani, Iraj Faraji & Dejamkhooy, Abdolmajid & Nowdeh, Saber Arabi, 2023. "A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging," Applied Energy, Elsevier, vol. 344(C).
    9. Chen, Zhang & Yiliang, Xie & Hongxia, Zhang & Yujie, Gu & Xiongwen, Zhang, 2023. "Optimal design and performance assessment for a solar powered electricity, heating and hydrogen integrated energy system," Energy, Elsevier, vol. 262(PA).
    10. 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).
    11. Alabi, Tobi Michael & Lu, Lin & Yang, Zaiyue, 2021. "A novel multi-objective stochastic risk co-optimization model of a zero-carbon multi-energy system (ZCMES) incorporating energy storage aging model and integrated demand response," Energy, Elsevier, vol. 226(C).
    12. Qu, Jiawei & Liu, Zeyu & Hou, Kai & Zhou, Yue & Zhu, Lewei & Dong, Xiaohong & Mu, Yunfei & Jia, Hongjie, 2025. "Joint planning of economy and reliability for integrated community energy systems: A similarity-based massive scenario optimization approach," Applied Energy, Elsevier, vol. 381(C).
    13. 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).
    14. Lei, Dayong & Zhang, Zhonghui & Wang, Zhaojun & Zhang, Liuyu & Liao, Wei, 2023. "Long-term, multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mechanism and CCS," Energy, Elsevier, vol. 280(C).
    15. Wei, Jingdong & Zhang, Yao & Wang, Jianxue & Cao, Xiaoyu & Khan, Muhammad Armoghan, 2020. "Multi-period planning of multi-energy microgrid with multi-type uncertainties using chance constrained information gap decision method," Applied Energy, Elsevier, vol. 260(C).
    16. Mavromatidis, Georgios & Petkov, Ivalin, 2021. "MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems," Applied Energy, Elsevier, vol. 288(C).
    17. Steen, David & Stadler, Michael & Cardoso, Gonçalo & Groissböck, Markus & DeForest, Nicholas & Marnay, Chris, 2015. "Modeling of thermal storage systems in MILP distributed energy resource models," Applied Energy, Elsevier, vol. 137(C), pages 782-792.
    18. Pu, Yuchen & Li, Qi & Zou, Xueli & Li, Ruirui & Li, Luoyi & Chen, Weirong & Liu, Hong, 2021. "Optimal sizing for an integrated energy system considering degradation and seasonal hydrogen storage," Applied Energy, Elsevier, vol. 302(C).
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