Multi-energy Optimal Scheduling of Industrial Parks Considering Green Certificate - Carbon Trading Mechanism and Hydrogen Compressed Natural Gas

doi:10.11930/j.issn.1004-9649.202405087

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202405087

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

Figures/Tables 10

Fig.1 Multi-energy industrial park architecture

Fig.2 P2G-CCPP-HCNG coupling model flow

Fig.3 Ladder carbon-green certificate collaborative trading framework

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

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

Fig.5 Electric load demand response

Fig.6 Heat load demand response

Fig.7 Cooling load demand response

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

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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