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历史数据驱动的综合能源系统分布式鲁棒低碳优化模型

王梓璇 郝禹 刘星辰 孙韦男 刘琳 张逸

综合智慧能源2026,Vol.48Issue(3):47-55,9.
综合智慧能源2026,Vol.48Issue(3):47-55,9.DOI:10.3969/j.issn.2097-0706.2026.03.005

历史数据驱动的综合能源系统分布式鲁棒低碳优化模型

Distributed robust low-carbon optimization model for integrated energy systems driven by historical data

王梓璇 1郝禹 1刘星辰 1孙韦男 1刘琳 1张逸2

作者信息

  • 1. 吉林省气象信息网络中心,长春 130062
  • 2. 国网吉林省电力有限公司长春市双阳区供电分公司,长春 130021
  • 折叠

摘要

Abstract

To effectively improve the economic benefits of integrated energy systems(IES),reduce carbon emissions,promote the efficient utilization of hydrogen energy,and mitigate the uncertainty of renewable energy output,a distributed robust low-carbon optimization model for IES driven by historical data was proposed.A data-driven uncertainty quantification method was used to construct a probability distribution ambiguity set with joint constraints of 1-norm and∞-norm based on historical renewable energy output data.By identifying the worst-case probability distribution scenario,a min-max-min three-layer distributed robust optimization framework was constructed,ensuring robustness while reducing scheduling conservatism.An integrated tiered carbon trading mechanism and power-to-gas(P2G)technology were adopted to incentivize carbon reduction through phased carbon pricing,achieving closed-loop utilization of carbon elements within the system while balancing environmental benefits and economic costs.The distributed robust model was solved using the column-and-constraint generation(C&CG)algorithm.The results showed that the daily carbon trading cost obtained based on the hybrid-norm ambiguity set was approximately 1.6%lower than that derived from the single-norm ambiguity set,further reducing the conservatism of the renewable energy output model.Meanwhile,with a reasonable division of tiered intervals,carbon emissions and carbon trading costs were reduced by 16.35%and 22.35%,respectively,achieving a relative balance between carbon emissions and carbon trading costs.The experimental results verified the advantage of the model in reducing carbon trading costs.The proposed model provides theoretical support and practical reference for the planning and operation of IES.

关键词

综合能源系统/分布式鲁棒/阶梯式碳交易机制/可再生能源/碳排放/碳交易成本/联合约束

Key words

integrated energy system/distributed robustness/tiered carbon trading mechanism/renewable energy/carbon emission/carbon trading cost/joint constraints

分类

能源科技

引用本文复制引用

王梓璇,郝禹,刘星辰,孙韦男,刘琳,张逸..历史数据驱动的综合能源系统分布式鲁棒低碳优化模型[J].综合智慧能源,2026,48(3):47-55,9.

基金项目

国家电网公司科技项目(5419-202155242A00) Science and Technology Project of State Grid Corporation of China(5419-202155242A00) (5419-202155242A00)

综合智慧能源

2097-0706

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