考虑绿证-碳交易机制与混氢天然气的工业园区多能优化调度

doi:10.11930/j.issn.1004-9649.202405087

摘要/Abstract

摘要：

工业园区作为高耗能、高排放主体，促进园区低碳转型对我国应对气候变化、实现经济社会可持续发展具有重要意义，因此提出考虑绿证-碳交易机制与混氢天然气的工业园区多能优化调度模型。首先，建立了园区电转气-碳捕集电厂-富氢压缩天然气联合运行模型，通过引入阶梯碳-绿证交易交互机制完善低碳市场交易规则。其次，建立了考虑生产品质与用能舒适度的激励型需求响应模型。最后，采用Matlab对园区日最小总成本进行求解，并设置8个情景对所提模型进行分析验证。算例结果表明，所提优化运行方法能够有效降低园区碳排放量，提高风光消纳率，同时充分挖掘需求响应能力，促进工业园区实现可持续绿色发展。

关键词: 混氢天然气, 阶梯式碳交易, 绿色电力证书, 激励型综合需求响应, 工业园区, 优化调度

Abstract:

As the main body of high energy consumption and high emissions, the industrial park is of great significance for China to cope with climate change and achieve sustainable economic and social development in low-carbon transformation. This paper proposes a multi-energy optimal scheduling model for industrial parks considering the green certificate-carbon trading mechanism and hydrogen compressed natural gas (HCNG). Firstly, a joint operation model of P2G-CCPP-HCNG is established for the park. Then, the trading rules of the low-carbon market are perfected through introducing the ladder carbon-green certificate trading interaction mechanism. Secondly, an incentive demand response model considering production quality and energy-use comfort is established. Finally, the MATLAB is used to solve the minimum total daily cost of the park, and eight scenarios are set up to verify the proposed model. The results of case study show that the proposed optimal operation method can effectively reduce the carbon emissions of the park, improve the wind and PV power consumption rate, and fully tap the demand response capability to promote the sustainable green development of the industrial parks.

Key words: HCNG, ladder carbon trading, green power certificate, incentive demand response, industrial park, optimal scheduling

许文俊, 马刚, 姚云婷, 孟宇翔, 李伟康. 考虑绿证-碳交易机制与混氢天然气的工业园区多能优化调度[J]. 中国电力, 2025, 58(2): 154-163.

Wenjun XU, Gang MA, Yunting YAO, Yuxiang MENG, Weikang LI. Multi-energy Optimal Scheduling of Industrial Parks Considering Green Certificate - Carbon Trading Mechanism and Hydrogen Compressed Natural Gas[J]. Electric Power, 2025, 58(2): 154-163.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202405087

https://www.electricpower.com.cn/CN/Y2025/V58/I2/154

图/表 10

图 1 多能工业园区架构

Fig.1 Multi-energy industrial park architecture

图 2 P2G-CCPP-HCNG耦合模型流程

Fig.2 P2G-CCPP-HCNG coupling model flow

图 3 阶梯碳-绿证协同交易框架

Fig.3 Ladder carbon-green certificate collaborative trading framework

图 4 分时电价及分时气价

Fig.4 Time-of-use electricity price and time-of-use gas price

表 1 园区低碳经济优化调度结果

Table 1 Park low-carbon economic optimization dispatch results

情景	是否加入需求响应	总成本/ 万元	CET收益/万元	绿证收益/万元	IDR成本/万元	实际碳排放量/ 吨	日总弃风光率/ %
1	×	481.94	0	0	0	2308.6	21.02
1	√	465.49	0	0	3.1114	2164.1	18.05
2	×	478.54	6.67	0	0	2126.0	19.92
2	√	462.25	7.10	0	3.1894	1994.2	17.14
3	×	466.93	8.64	11.6697	0	2057.8	19.49
3	√	445.14	10.32	17.6446	5.3218	1863.1	16.28
4	×	443.44	35.13	12.0139	0	1968.8	19.12
4	√	420.03	35.63	17.7390	5.5580	1857.2	16.20

图 5 电负荷需求响应

Fig.5 Electric load demand response

图 6 热负荷需求响应

Fig.6 Heat load demand response

图 7 冷负荷需求响应

Fig.7 Cooling load demand response

图 8 园区总成本随HCNG掺氢比上限变化

Fig.8 Variation of the park total cost with the upper limit of HCNG hydrogen doping ratio

图 9 园区弃风光率随HCNG掺氢比上限变化

Fig.9 Variation of the park's curtailed wind and solar power rate with the upper limit of HCNG's hydrogen doping ratio

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