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考虑CCER与绿证、绿电交易的电-氢综合能源系统优化调度

李奇,  王泽群,  蒲雨辰,  门炜杰,  陈维荣

李奇, 王泽群, 蒲雨辰, 门炜杰, 陈维荣. 考虑CCER与绿证、绿电交易的电-氢综合能源系统优化调度[J]. 西南交通大学学报, 2026, 61(5): 1454-1469. doi: 10.3969/j.issn.0258-2724.20260051
引用本文: 李奇, 王泽群, 蒲雨辰, 门炜杰, 陈维荣. 考虑CCER与绿证、绿电交易的电-氢综合能源系统优化调度[J]. 西南交通大学学报, 2026, 61(5): 1454-1469. doi: 10.3969/j.issn.0258-2724.20260051
LI Qi, WANG Zequn, PU Yuchen, MEN Weijie, CHEN Weirong. Optimized Dispatch of Electricity-Hydrogen Integrated Energy System Considering Chinese Certified Emission Reduction, Green Certificate, and Green Electricity Trading[J]. Journal of Southwest Jiaotong University, 2026, 61(5): 1454-1469. doi: 10.3969/j.issn.0258-2724.20260051
Citation: LI Qi, WANG Zequn, PU Yuchen, MEN Weijie, CHEN Weirong. Optimized Dispatch of Electricity-Hydrogen Integrated Energy System Considering Chinese Certified Emission Reduction, Green Certificate, and Green Electricity Trading[J]. Journal of Southwest Jiaotong University, 2026, 61(5): 1454-1469. doi: 10.3969/j.issn.0258-2724.20260051

考虑CCER与绿证、绿电交易的电-氢综合能源系统优化调度

doi: 10.3969/j.issn.0258-2724.20260051
基金项目: 国家自然科学基金项目(U2569204,52377123);四川省自然科学基金项目(2026NSFSC1206)
详细信息
    作者简介:

    李奇(1984—),男,教授,博士生导师,研究方向为分布式发电并网技术、综合能源系统等,E-mail:liqi0800@163.com

    通讯作者:

    蒲雨辰(1995—),男,讲师,博士,研究方向为综合能源系统优化调度,E-mail:yuchen_pu@126.com

  • 中图分类号: TM73;TK01

Optimized Dispatch of Electricity-Hydrogen Integrated Energy System Considering Chinese Certified Emission Reduction, Green Certificate, and Green Electricity Trading

  • 摘要:

    针对“双碳”目标下综合能源系统在电碳多元市场机制协同下经济与减排效益不明确的问题,面向含氢能子系统的综合能源系统,提出一种融合中国核证自愿减排量(CCER)、绿色电力证书与绿电交易的多元市场协同优化调度方法. 首先,构建电-氢综合能源系统架构,建立各设备的数学模型并深入分析系统内部能量流与碳流关系;其次,考虑系统可再生能源的内部消纳与外部供应,基于电-碳-氢耦合特性量化系统实际核证减排量,提出系统参与CCER、绿证与绿电多元市场的协同交易方法;基于全生命周期评估方法,建立了涵盖设备生产、运输建设、运行投产和退役处理全阶段的碳排放核算模型;最后,以系统运行成本最小为优化目标,构建考虑阶梯式碳交易成本的综合能源系统优化调度模型,采用混合整数线性规划方法求解,并通过算例验证所提方法的有效性. 研究结果表明:多元化市场交易实现了激励效应叠加,系统总成本较基准场景降低19.38%,达成了系统“降本-减排-消纳”的协同优化.

     

  • 图 1  综合能源系统内部结构

    Figure 1.  Internal structure of IES

    图 2  绿电-绿证交易框架

    Figure 2.  GE-GC trading framework

    图 3  多元交易策略框架

    Figure 3.  Multi-strategy trading framework

    图 4  终端用能LCA流程

    Figure 4.  LCA process for terminal energy use

    图 5  技术路线

    Figure 5.  Technical roadmap

    图 6  场景2各功率平衡调度

    Figure 6.  Power balance dispatch of scenario 2

    图 7  各场景下的系统碳量构成(单位:kg)

    Figure 7.  System carbon composition under various scenarios (unit: kg)

    图 8  场景5系统各功率平衡调度

    Figure 8.  Power balance dispatch of scenario 5

    图 9  各场景碳交易与总成本对比

    Figure 9.  Comparison of carbon trading costs and total costs across different scenarios

    图 10  各场景下的可再生能源消纳(单位:kg•h)

    Figure 10.  Renewable energy consumption under different scenarios (unit: kg•h)

    表  1  场景设置

    Table  1.   Setting of scenarios

    场景 考虑
    氢能
    考虑 GC
    和 GE
    考虑 CCER GC、GE 和
    CCER 交互
    1 × × × ×
    2 √ × × ×
    3 √ √ × ×
    4 √ × √ ×
    5 √ √ √ √
    下载: 导出CSV

    表  2  场景1、2成本对比分析

    Table  2.   Cost analysis for scenarios 1 and 2 元

    场景 运维 燃煤 碳封存 碳交易 购电 售电 购气 总成本/元
    场景 1 3587.99 19800.33 1350.22 7702.47 5724.92 −6427.90 18172.59 49910.63
    场景 2 5153.37 17855.82 1541.38 6445.25 5448.61 −5103.98 17492.64 48833.09
    下载: 导出CSV

    表  3  场景1、2碳排放对比分析

    Table  3.   Comparative analysis of carbon emissions for scenarios 1 and 2 kg

    场景 碳排放总量 碳交易净值
    场景 1 39795.62 25674.91
    场景 2 35604.87 21484.16
    下载: 导出CSV

    表  4  场景3、4、5成本对比分析

    Table  4.   Comparative analysis of cost for scenarios 3, 4, and 5 元

    场景 运维 燃煤 碳封存 碳交易 购电 售电 购气 绿证 CCER 总成本
    场景 3 5134.10 15217.04 1480.43 3460.10 5410.80 −3170.10 15933.92 −842.54 0 42623.78
    场景 4 5004.37 17429.14 1465.58 3148.41 5509.01 −2724.08 14938.12 0 −1446.39 43324.16
    场景 5 5133.44 16233.03 1615.54 2911.62 5685.22 −4371.90 15338.70 −949.71 −2219.98 39375.96
    下载: 导出CSV

    表  5  场景3、4、5碳捕集效益对比

    Table  5.   Comparison of carbon capture benefits for scenarios 3, 4, and 5

    场景 总发电量/(kW•h) 净发电量/(kW•h) 碳捕集耗电/(kW•h) CO2 生成量/kg CO2 捕获量/kg 碳捕集率/%
    场景 3 40135.81 11523.04 28612.77 39098.52 29449.01 75.32
    场景 4 41497.96 8996.72 32501.24 42327.92 33608.65 79.40
    场景 5 45792.92 12176.31 33616.61 45708.78 38354.28 83.91
    下载: 导出CSV

    表  6  场景3、4、5碳排放对比分析

    Table  6.   Comparison of carbon emissions for scenarios 3, 4, and 5 kg

    场景 碳排放总量 碳交易净值
    场景 3 25654.39 11533.65
    场景 4 23698.96 9578.22
    场景 5 20948.78 6828.04
    下载: 导出CSV
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出版历程
  • 收稿日期:  2026-01-29
  • 修回日期:  2026-06-01
  • 网络出版日期:  2026-10-16
  • 刊出日期:  2026-06-10

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