Optimal Robust Low Carbon Allocation of Multi-Energy Systems Considering Direct and Indirect Heating of Wind Energy and Carbon Trading

Huifang Dang; Yongqiang Han; Hao Yan; Zhe Chen

doi:10.17775/CSEEJPES.2022.05540

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Optimal Robust Low Carbon Allocation of Multi-Energy Systems Considering Direct and Indirect Heating of Wind Energy and Carbon Trading

Regular Papers | 更新时间：2026-06-12

- Optimal Robust Low Carbon Allocation of Multi-Energy Systems Considering Direct and Indirect Heating of Wind Energy and Carbon Trading
- CSEE Journal of Power and Energy Systems Vol. 12, Issue 3, Pages: 1562-1572(2026)
- 作者机构：
  
  1. State Key Laboratory of Automotive Simulation and Control, Jilin University,Changchun,China
  2. Department of Aotomation, Tsinghua University,Beijing,China
  3. Energy Technology Department, University of Aalborg, Aalborgr,Denmark
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.05540
  CLC：
- Published：2026
- 稿件说明：
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Huifang Dang, Yongqiang Han, Hao Yan, et al. Optimal Robust Low Carbon Allocation of Multi-Energy Systems Considering Direct and Indirect Heating of Wind Energy and Carbon Trading[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1562-1572.
DOI：

Huifang Dang, Yongqiang Han, Hao Yan, et al. Optimal Robust Low Carbon Allocation of Multi-Energy Systems Considering Direct and Indirect Heating of Wind Energy and Carbon Trading[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1562-1572. DOI： 10.17775/CSEEJPES.2022.05540.

摘要

Abstract

This paper proposes a low-carbon robust optimal allocation method for multi-energy systems (MES) considering direct and indirect heating integration of wind energy and carbon quota trading. First

direct heating characteristics of wind energy are analyzed

and the energy analysis model of stirring heating driven by wind energy is established. Next

the inertia characteristics of the heating and gas networks and their influence on carbon emission adjustment ability are analyzed

and the carbon quota cost of MES is revised. A low-carbon bi-level optimal allocation model of MES is established based on distributionally robust optimization (DRO). Finally

a simulation model is established based on actual operation data of a MES in Eastern Inner Mongolia

China. Simulation results show that the model proposed in this paper can improve the energy utilization efficiency of the system and effectively reduce carbon emissions.

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references

20. H. F. Dang. ( 2022, Sep. 2 ). Example data [Online ] . https://kdocs.cn/l/cqa1CdBg7bBI.

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