Research on Low-Carbon Optimization Model of Power System Driven by Carbon Capture and Ladder Electricity Price
DOI:
https://doi.org/10.13052/spee1048-5236.44413Keywords:
Carbon capture, ladder electricity price, Power system optimization, reinforcement learning, multimodal data fusionAbstract
The power system faces huge challenges in reducing carbon emissions and improving economic benefits. The traditional electricity price collaborative optimization model cannot fully combine the synergy of carbon capture technology and the tiered electricity price mechanism. There is an urgent need to propose a new low-carbon optimization model to cope with energy transformation. And sustainable development goals requirements. The power system structure is mapped through a multi-energy coupled digital twin system to achieve dynamic perception and modelling of power generation, load, and carbon emission processes. Construct a response mechanism driven by carbon-electricity collaboration, combine multi-modal data fusion technology, and use the LSTM-CNN deep neural network to mine the collaborative rules among carbon capture devices, electricity markets, and user behaviour. In terms of optimization algorithms, a dual-objective reinforcement learning model based on a deep Q network (DQN) is proposed to find a dynamic balance between economy and low carbon and integrate mixed integer programming methods to deal with complex system constraints to improve solution efficiency and feasibility. In the synergy model of carbon capture and tiered electricity price, when the carbon capture efficiency reaches 45.67%, the carbon emission intensity of high-carbon units drops from 91.12 g/kWh to 62.34 g/kWh, a decrease of 31.5%. When the coverage rate of the secondtiered electricity price is 23.89%, the peak load of industrial users is reduced by 17.56%, and the peak load is increased by 100% × 34.23% (relative to the benchmark). The collaborative strategy enabled the system’s comprehensive carbon emission reduction rate to reach 34.23%, which was 23.1% higher than that of single carbon capture, verifying the coupling and efficiency of price signals and technical means.
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Z. Q. Ni, S. Li, X. P. Zhang, J. J. Bao, and N. Zhang, “Analysis and comparison of the membrane-cryogenic hybrid process and multistage membrane process for pre-combustion carbon capture based on the superstructure method,” Separation and Purification Technology, vol. 353, 2025. doi: 10.1016/j.seppur.2024.128636.
Y. Z. Zhang, X. P. Zhang, and T. S. Ng, “Analysis of the carbon-gas-electricity trigger price for carbon capture and power-to-gas coupling system,” Sustainable Production and Consumption, vol. 28, pp. 1164–1177, 2021. doi: 10.1016/j.spc.2021.07.035.
Z. C. Yan et al., “Bi-Level Carbon Trading Model on Demand Side for Integrated Electricity-Gas System,” Ieee Transactions on Smart Grid, vol. 14, no. 4, pp. 2681–2696, 2023. doi: 10.1109/tsg.2022.3229278.
X. F. Pang, Y. B. Wang, S. X. Yang, W. Liu, and Y. Yu, “A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response,” Expert Systems with Applications, vol. 243, 2024. doi: 10.1016/j.eswa.2023.122875.
Y. K. Bai, Y. Z. Zhang, X. P. Zhang, and T. S. Ng, “Business model and supporting policies for projects to implement carbon capture and power-to-gas technologies,” Science of the Total Environment, vol. 888, 2023. doi: 10.1016/j.scitotenv.2023.164150.
Y. M. Wei, X. Y. Wang, J. Zheng, Y. H. Ding, J. M. He, and J. Han, “The carbon reduction effects of stepped carbon emissions trading and carbon capture and storage on hybrid wind-PV-thermal- storage generation operating systems,” Environmental Science and Pollution Research, vol. 30, no. 38, pp. 88664–88684, 2023. doi: 10.1007/s11356-023-28644-0.
I. Milstein, A. Tishler, and C. K. Woo, “Carbon-free Electricity Supply in a Cournot Wholesale Market: Israel,” Energy Journal, vol. 45, no. 2, 2024. doi: 10.5547/01956574.45.2.imil.
T. Deng, M. A. Khan, M. Uddin, and A. Haider, “Connecting Fiscal Decentralization with Climate Change Mitigation in China: Directions for Carbon Capturing Systems,” Processes, vol. 11, no. 3, 2023. doi: 10.3390/pr11030712.
Z. L. Lu, J. X. Wang, M. Shahidehpour, L. Q. Bai, and Z. Y. Li, “Convex-Hull Pricing of Ancillary Services for Power System Frequency Regulation With Renewables and Carbon-Capture-Utilization-and-Storage Systems,” IEEE Transactions on Power Systems, vol. 39, no. 5, pp. 6615–6635, 2024. doi: 10.1109/tpwrs.2024.3368338.
Z. F. Tan, J. C. Yang, F. Q. Li, H. C. Zhao, and X. D. Li, “Cooperative Operation Model of Wind Turbine and Carbon Capture Power Plant Considering Benefit Distribution,” Sustainability, vol. 14, no. 18, 2022. doi: 10.3390/su141811627.
L. Zheng, B. Zhou, C. Y. Chung, J. Y. Li, Y. J. Cao, and Y. D. Zhao, “Coordinated Operation of Multienergy Systems With Uncertainty Couplings in Electricity and Carbon Markets,” Ieee Internet of Things Journal, vol. 11, no. 14, pp. 24414–24427, 2024. doi: 10.1109/jiot.2024.3355132.
X. Chang et al., “The coupling effect of carbon emission trading and tradable green certificates under electricity marketization in China,” Renewable & Sustainable Energy Reviews, vol. 187, 2023. doi: 10.1016/j.rser.2023.113750.
S. Devkota, P. Karmacharya, S. Maharjan, D. Khatiwada, and B. Uprety, “Decarbonizing urea: Techno-economic and environmental analysis of a model hydroelectricity and carbon capture based green urea production,” Applied Energy, vol. 372, 2024. doi: 10.1016/j.apenergy.2024.123789.
M. Bui, D. Zhang, M. Fajardy, and N. M. Dowell, “Delivering carbon negative electricity, heat and hydrogen with BECCS – Comparing the options,” International Journal of Hydrogen Energy, vol. 46, no. 29, pp. 15298–15321, 2021. doi: 10.1016/j.ijhydene.2021.02.042.
A. V. Olympios et al., “Delivering net-zero carbon heat: Technoeconomic and whole-system comparisons of domestic electricity- and hydrogen-driven technologies in the UK,” Energy Conversion and Management, vol. 262, 2022. doi: 10.1016/j.enconman.2022.115649.
E. J. Markey et al., “Economic impact of thermal energy storage on natural gas power with carbon capture in future electricity markets,” International Journal of Greenhouse Gas Control, vol. 133, 2024. doi: 10.1016/j.ijggc.2024.104098.
C. K. Chyong, D. M. Reiner, R. Ly, and M. Fajardy, “Economic modelling of flexible carbon capture and storage in a decarbonised electricity system,” Renewable & Sustainable Energy Reviews, vol. 188, 2023. doi: 10.1016/j.rser.2023.113864.
C. M. He, K. J. Jiang, P. P. Xiang, Y. J. Jiao, and M. Z. Li, “Electricity Demand Characteristics in the Energy Transition Pathway Under the Carbon Neutrality Goal for China,” Sustainability, vol. 17, no. 4, 2025. doi: 10.3390/su17041759.
D. Liu et al., “Electricity-Carbon Joint Trading of Virtual Power Plant with Carbon Capture System,” International Transactions on Electrical Energy Systems, vol. 2023, 2023. doi: 10.1155/2023/6864403.
M. Jiao, M. Yang, M. B. Li, Y. M. Zhang, and P. Li, “Enhanced dispatch model for park-level integrated energy system considering electricity-carbon collaboration,” Electric Power Systems Research, vol. 246, 2025. doi: 10.1016/j.epsr.2025.111674.
P. Lisbona, S. Pascual, and V. Pérez, “Evaluation of Synergies of a Biomass Power Plant and a Biogas Station with a Carbon Capture System,” Energies, vol. 14, no. 4, 2021. doi: 10.3390/en14040908.
K. H. M. Al-Hamed and I. Dincer, “Exergoeconomic analysis and optimization of a solar energy-based integrated system with oxy-combustion for combined power cycle and carbon capturing,” Energy, vol. 250, 2022. doi: 10.1016/j.energy.2022.123814.
W. Q. Li, F. Zhang, L. Y. Pan, and Z. Li, “Gas or electricity? Regional pathway selection under carbon neutrality target: A case study of industrial boilers,” Journal of Cleaner Production, vol. 349, 2022. doi: 10.1016/j.jclepro.2022.131313.
J. X. Li, M. Chen, D. Q. Qu, and X. J. Ma, “A Hybrid Real-Time Electricity Pricing Strategy with Carbon Capture, Storage and Trading,” Electric Power Components and Systems, vol. 2024. doi: 10.1080/15325008.2024.2319710.
P. P. Chinaris, G. N. Psarros, E. S. Chatzistylianos, and S. A. Papathanassiou, “Impact of Natural Gas Price Variations and Consumption Limitation on the Decarbonization of Sector-Coupled Energy Systems,” Ieee Access, vol. 11, pp. 131573–131596, 2023. doi: 10.1109/access.2023.3334397.
J. Yuan, H. X. Gu, V. C. Nian, and L. Zhu, “Influence of system boundary conditions on the life cycle cost and carbon emissions of CO2 transport,” International Journal of Greenhouse Gas Control, vol. 124, 2023. doi: 10.1016/j.ijggc.2023.103847.
A. Banu et al., “Life cycle cost analysis of direct air capture integrated with HVAC systems: Utilization routes in formic acid production and agricultural greenhouses,” Journal of Environmental Chemical Engineering, vol. 13, no. 3, 2025. doi: 10.1016/j.jece.2025.116201.
D. Y. Lei, Z. H. Zhang, Z. J. Wang, L. Y. Zhang, and W. Liao, “Long-term, multi-stage low-carbon planning model of electricity-gas-heat integrated energy system considering ladder-type carbon trading mechanism and CCS,” Energy, vol. 280, 2023. doi: 10.1016/j.energy.2023.128113.
L. X. Wang, H. D. Zhao, D. W. Wang, F. Dong, T. M. Feng, and R. Xiong, “Low-Carbon Economic Dispatch of Integrated Energy System Considering Expanding Carbon Emission Flows,” Ieee Access, vol. 12, pp. 104755–104769, 2024. doi: 10.1109/access.2024.3435051.
Y. M. Zhang, P. K. Sun, X. Q. Ji, F. S. Wen, M. Yang, and P. F. Ye, “Low-Carbon Economic Dispatch of Integrated Energy Systems Considering Extended Carbon Emission Flow,” Journal of Modern Power Systems and Clean Energy, vol. 12, no. 6, pp. 1798–1809, 2024. doi: 10.35833/mpce.2023.000743.
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