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Coordinating multi-energy to improve urban integrated energy system resilience against extreme weather events

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  • Li, Xue
  • Du, Xiaoxue
  • Jiang, Tao
  • Zhang, Rufeng
  • Chen, Houhe

Abstract

The urban integrated energy system (UIES)’s ability to deliver power, heat and gas to users uninterruptedly even under a high impact and low probability event is critical to the safety and living quality of city residents and also the economy of the urban area. This paper proposes a load restoration strategy based on multi-energy coordination to improve the resilience of UIES, with the goal of restoring important loads as much as possible. The proposed restoration strategy introduces the minimum diameter spanning tree (MDST) method to UIES, and changes the topology of the system accordingly to reorganize the various “islands” after the extreme event, so as to ensure that the operating radius of the area is the smallest, and to alleviate the drops of voltage, air pressure and temperature. On this basis, the proposed restoration strategy also includes a method to better utilize the complementarity of energy sources by coordinating all power, gas and heat sources in the area to ensure the uninterrupted energy supply for important loads in the integrated electricity/gas/heating system. Finally, this paper verifies the feasibility and effectiveness of the proposed method through UIES E33-G14-H6 test system and UIES E123-G48-H32 test system.

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  • Li, Xue & Du, Xiaoxue & Jiang, Tao & Zhang, Rufeng & Chen, Houhe, 2022. "Coordinating multi-energy to improve urban integrated energy system resilience against extreme weather events," Applied Energy, Elsevier, vol. 309(C).
  • Handle: RePEc:eee:appene:v:309:y:2022:i:c:s0306261921016809
    DOI: 10.1016/j.apenergy.2021.118455
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    References listed on IDEAS

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    10. Ren, Hongbo & Jiang, Zipei & Wu, Qiong & Li, Qifen & Lv, Hang, 2023. "Optimal planning of an economic and resilient district integrated energy system considering renewable energy uncertainty and demand response under natural disasters," Energy, Elsevier, vol. 277(C).
    11. Zhou, Yizhou & Li, Xiang & Han, Haiteng & Wei, Zhinong & Zang, Haixiang & Sun, Guoqiang & Chen, Sheng, 2024. "Resilience-oriented planning of integrated electricity and heat systems: A stochastic distributionally robust optimization approach," Applied Energy, Elsevier, vol. 353(PA).
    12. Guo, Kun & Luan, Liyuan & Cai, Xiaoli & Zhang, Dayong & Ji, Qiang, 2024. "Energy trade stability of China: Policy options with increasing climate risks," Energy Policy, Elsevier, vol. 184(C).
    13. Souto, Laiz & Parisio, Alessandra & Taylor, Philip C., 2024. "MPC-based framework incorporating pre-disaster and post-disaster actions and transportation network constraints for weather-resilient power distribution networks," Applied Energy, Elsevier, vol. 362(C).
    14. Xie, Haipeng & Sun, Xiaotian & Fu, Wei & Chen, Chen & Bie, Zhaohong, 2023. "Risk management for integrated power and natural gas systems against extreme weather: A coalitional insurance contract approach," Energy, Elsevier, vol. 263(PB).
    15. Meng, Fanchao & Zhang, Lei & Ren, Guoyu & Zhang, Ruixue, 2023. "Impacts of UHI on variations in cooling loads in buildings during heatwaves: A case study of Beijing and Tianjin, China," Energy, Elsevier, vol. 273(C).

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