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Study on multi-energy scheduling strategy considering dynamic energy prices and low-carbon demand response

Author

Listed:
  • Su, Xin
  • Zhang, Qian
  • Lu, YangDong
  • Hao, RuiYi
  • Qin, TianXi
  • Li, ChunYan
  • Huang, ShengWei
  • Bi, KeFan

Abstract

Addressing the coupling issue between dynamic energy prices and low-carbon demand response under a low-carbon context, this paper proposes a multi-energy scheduling strategy considering dynamic energy prices and low-carbon demand response. First, in the Regional Integrated Energy Service Provider (RIESP), a time-varying carbon flow state model is established based on carbon emission flow theory, tracing the carbon flow from the input to the output end. A dynamic response willingness model for user participation in demand response is developed under the influence of multi-factor signals, stimulating the low-carbon potential of users through environmental awareness. Meanwhile, dynamic energy prices are constructed under multi-factor signals to guide users to consume energy during low-carbon periods. Then, through the coupling effect of dynamic energy prices and users' low-carbon response willingness, the collaborative low-carbon optimization potential of the “source-load” system is further explored. The problem is formulated as a bi-level optimization problem, and the optimal solution is obtained through iterative interaction between the upper and lower levels. Finally, a case study is conducted to verify the proposed strategy. The results show that, after implementing the proposed strategy, the system's energy purchasing cost is reduced by 10.27 %, carbon emissions are reduced by 2525.25 kg, and the renewable energy absorption rate is increased by 7.66 %.

Suggested Citation

  • Su, Xin & Zhang, Qian & Lu, YangDong & Hao, RuiYi & Qin, TianXi & Li, ChunYan & Huang, ShengWei & Bi, KeFan, 2025. "Study on multi-energy scheduling strategy considering dynamic energy prices and low-carbon demand response," Renewable Energy, Elsevier, vol. 247(C).
    • Handle: RePEc:eee:renene:v:247:y:2025:i:c:s0960148125007104
    DOI: 10.1016/j.renene.2025.123048
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    References listed on IDEAS

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    1. Su, Xin & Zhang, Qian & Fu, Zhong & Wu, Jiaqi & Qin, Tianxi & Li, Chunyan & Huang, Shengwei & Bi, Kefan, 2025. "The coordinated multi-energy trading framework for integrated energy systems considering electricity-hydrogen trading and carbon emission flow," Energy, Elsevier, vol. 339(C).
    2. Zhai, Chao & Cao, Zhixiang & Wang, Yi & Abdou-Tankari, Mahamadou & Yu, Jian & Lei, Zhen, 2025. "A reverse incentive-based demand response strategy for shared energy storage in industrial microgrids: Optimization, scheduling, and investment analysis," Energy, Elsevier, vol. 330(C).

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