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Low carbon operation and evaluation methods for integrated energy system counting EVs with whole life cycle considering demand response

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  • Liu, Chao
  • Fan, Yiwen
  • Yu, Wanshui
  • Liu, Yishi
  • Li, Chenjia
  • Chi, Yongning

Abstract

The integrated energy system has gradually become an effective way of energy saving and emission reduction with the proposal of “dual carbon" target and the continuous promotion of low-carbon development. However, most of the existing studies on demand-side flexible loads only consider flexible power loads, and there are fewer studies on the controllability of thermal loads. This paper proposes a low-carbon and economic optimal scheduling model and evaluation method for integrated energy system considering demand-side response. With the goal of minimizing the total operating cost of the integrated energy system, and taking into account the transferable and curtailing characteristics of the electric and thermal flexible loads, we establish an optimal scheduling model of the integrated energy system considering the user-side flexible loads, and comprehensively evaluate the performance of the system in terms of economic performance, reliability, and environmental performance. The performance of the system is evaluated in terms of economic performance, reliability and environmental performance. The role of flexible loads in improving the economy of the combined supply system is investigated with examples, and the rationality and effectiveness of the study are verified through comparative analysis of different scenarios. The results show that the total cost of the system is reduced by 18.04 %, 9.1 %, 3.35 % and 7.03 % when carbon trading cost and demand-side flexible electric-heat load response are considered at the same time; and the total carbon emission of the system is reduced by 65.28 %, 20.63 %, 3.85 % and 18.03 %, respectively. Considering carbon trading costs and demand-side flexible electric and thermal load response can improve the reliability of the system. The overall reliability of the system is improved by 10 %, 15 %, 16.67 % and 20 % for the four scenarios, respectively.

Suggested Citation

  • Liu, Chao & Fan, Yiwen & Yu, Wanshui & Liu, Yishi & Li, Chenjia & Chi, Yongning, 2024. "Low carbon operation and evaluation methods for integrated energy system counting EVs with whole life cycle considering demand response," Renewable Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:renene:v:236:y:2024:i:c:s0960148124015155
    DOI: 10.1016/j.renene.2024.121447
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    References listed on IDEAS

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    1. Liu, Liu & Wang, Dan & Hou, Kai & Jia, Hong-jie & Li, Si-yuan, 2020. "Region model and application of regional integrated energy system security analysis," Applied Energy, Elsevier, vol. 260(C).
    2. Ebrahimi, Masood & Keshavarz, Ali, 2013. "Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates," Energy, Elsevier, vol. 54(C), pages 291-301.
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    Cited by:

    1. Chengcheng Ma & Zhijian Hu, 2025. "Low-Carbon Economic Scheduling of Integrated Energy System Considering Flexible Supply–Demand Response and Diversified Utilization of Hydrogen," Sustainability, MDPI, vol. 17(4), pages 1-23, February.
    2. Xunwen Zhao & Hailin Mu & Nan Li & Xue Kong & Xunpeng Shi, 2025. "Optimization Research on a Novel Community Integrated Energy System Based on Solar Energy Utilization and Energy Storage," Energies, MDPI, vol. 18(5), pages 1-19, February.

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