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Open Access

Low-Carbon Economic Operation Optimization of Mine Integrated Energy System Considering Energy Supply Uncertainty

Xiaokang Wu1Yong Zhang2( )Xiaotian Fei2Hejuan Hu2Xiaoyan Sun2Dunwei Gong3Xianfang Song2
North Automatic Control Technology Institute, Taiyuan 030006, China
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
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Abstract

Mine integrated energy system (MIES) can promote the utilization of derived energy and achieve multi-energy complementation and ecological protection. Now it gradually becomes an important focus for scientific carbon reduction and carbon neutrality. To reduce the impact of uncertain prediction differences on the system during the process of using mine derived energy, a low-carbon economic operation strategy of MIES considering energy supply uncertainty is developed in this paper. Firstly, based on the basic structure of energy flow in MIES, the energy-carbon flow framework of MIES is established for the low-carbon operation requirements. Secondly, considering carbon emission constraints, the low-carbon economic operation optimization model (LEOOM) is built for MIES to minimize operation cost and carbon emission. Finally, multiple uncertainties of the system are modeled and analyzed by using the robust model under the risk aversion strategy of information gap decision theory (IGDT), and a model conversion method is designed to optimize the low-carbon economic operation model. The simulation results under three scenarios demonstrate that compared to the existed economic dispatching models, the proposed model achieves a 30% reduction in carbon emission while the operational cost of MIES only is increased by 2.1%. The model efficiently mitigates the carbon emission of the system, and the proposed uncertain treatment strategy can significantly improve the robustness of obtained operation plans.

References

[1]

J. J. Wang, X. Y. Guo, H. Wang, J. Y. Zhang, N. Bai, and J. Sun, Economic benefit analysis of integrated energy system coupled with cold and heat storage and heat pump, (in Chinese), Distributed Energy, vol. 5, no. 5, pp. 64–70, 2020.

[2]

M. Tan, Z. Zhang, Y. Ren, I. Richard, and Y. Zhang, Multi-agent system for electric vehicle charging scheduling in parking lots, Complex System Modeling and Simulation, vol. 3, no. 2, pp. 129–142, 2023.

[3]

T. Long and Q. S. Jia, Matching uncertain renewable supply with electric vehicle charging demand—A bi-level event-based optimization method, Complex System Modeling and Simulation, vol. 1, no. 1, pp. 33–44, 2021.

[4]

S. M. Wang, Y. J. Shen, S. J. Song, L. Liu, L. J. Gu, and J. B. Wei, Change of coal energy status and green and low-carbon development under the “dual carbon” goal, (in Chinese), Journal of China Coal Society, vol. 48, no. 7, pp. 2599–2612, 2023.

[5]

Y. Zheng, Q. Li, G. Zhang, Y. Zhao, P. Zhu, X. Ma, and X. Li, Study on the coupling evolution of air and temperature field in coal mine goafs based on the similarity simulation experiments, Fuel, vol. 283, p. 118905, 2021.

[6]

Q. Wang, W. Li, T. Li, X. Li, and S. Liu, Goaf water storage and utilization in arid regions of Northwest China: A case study of Shennan coal mine district, J. Clean. Prod., vol. 202, pp. 33–44, 2018.

[7]

Y. Li, F. Bu, J. Gao, and G. Li, Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading, J. Clean. Prod., vol. 378, p. 134540, 2022.

[8]

G. Zhang, W. Wang, Z. Chen, R. Li, and Y. Niu, Modeling and optimal dispatch of a carbon-cycle integrated energy system for low-carbon and economic operation, Energy, vol. 240, p. 122795, 2022.

[9]

R. Wang, X. Wen, X. Wang, Y. Fu, and Y. Zhang, Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading, Appl. Energy, vol. 311, p. 118664, 2022.

[10]

Y. Yang, W. F. Yi, C. Q. Wang, M. S. Wang, Z. J. Wu, Y. F. Mu, and M. Z. Zheng, Low-carbon economic dis-patching of park integrated energy system applying carbon emission flow theory, (in Chinese), Electric Power Construction, vol. 43, no. 11, pp. 33–41, 2022.

[11]

X. Zhong, W. Zhong, Y. Liu, C. Yang, and S. Xie, Optimal energy management for multi-energy multi-microgrid networks considering carbon emission limitations, Energy, vol. 246, p. 123428, 2022.

[12]

H. Hu, X. Sun, B. Zeng, D. Gong, and Y. Zhang, Enhanced evolutionary multi-objective optimization-based dispatch of coal mine integrated energy system with flexible load, Appl. Energy, vol. 307, p. 118130, 2022.

[13]

Z. Liu, Y. Cui, J. Wang, C. Yue, Y. S. Agbodjan, and Y. Yang, Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties, Energy, vol. 254, p. 124399, 2022.

[14]

R. Yan, J. Wang, J. Wang, L. Tian, S. Tang, Y. Wang, J. Zhang, Y. Cheng, and Y. Li, A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties, Energy, vol. 247, p. 123498, 2022.

[15]

L. Wang, H. Dong, J. Lin, and M. Zeng, Multi-objective optimal scheduling model with IGDT method of integrated energy system considering ladder-type carbon trading mechanism, Int. J. Electr. Power Energy Syst., vol. 143, p. 108386, 2022.

[16]

Y. Dong, H. Zhang, P. Ma, C. Wang, and X. Zhou, A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties, Energy, vol. 274, p. 127267, 2023.

[17]

H. Pu, Z. F. Bian, J. X. Zhang, and J. C. Xu, Research on a reuse mode of geothermal resources in abandoned coal mines, (in Chinese), Journal of China Coal Society, vol. 46, no. 2, pp. 677–687, 2021.

[18]

Y. Zhang, X. Wu, H. Hu, X. Sun, and D. Gong, Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment, Energy Sci. Eng., vol. 10, no. 12, pp. 4411–4430, 2022.

[19]

X. J. Liu, F. J. Nie, D. F. Yang, Y. Wang, and Y. Xu, Low carbon economic dispatch of integrated energy systems considering green certificates-carbon trading mechanism under CCPP-P2G joint operation model, (in Chinese), Power System Technology, vol. 47, no. 6, pp. 2207–2222, 2023.

[20]

Z. X. Pan, S. M. Liu, Z. J. Wang, S. Wang, and C. R. Ding, Dispatch based on information gap decision theory for power system with wind power, (in Chinese), Electric Power Construction, vol. 39, no. 9, pp. 87–94, 2018.

[21]

M. Majidi, B. Mohammadi-Ivatloo, and A. Soroudi, Application of information gap decision theory in practical energy problems: A comprehensive review, Appl. Energy, vol. 249, pp. 157–165, 2019.

[22]

A. Soroudi, A. Rabiee, and A. Keane, Information gap decision theory approach to deal with wind power uncertainty in unit commitment, Electr. Power Syst. Res., vol. 145, pp. 137–148, 2017.

[23]
Y. M. Zhao, D. G. Peng, C. M. Xu, H. R. Zhao, and J. F. Li, Research on integrated energy dispatch with a reward and punishment ladder-type carbon trading and source load uncertainty, (in Chinese), Electrical Measurement & Instrumentation, http://kns.cnki.net/kcms/detail/23.1202.TH.20220721.1542.006.html, 2022.
[24]

M. Khajehvand, A. Fakharian, and M. Sedighizadeh, A risk-averse decision based on IGDT/stochastic approach for smart distribution network operation under extreme uncertainties, Appl. Soft Comput., vol. 107, p. 107395, 2021.

[25]
J. Löfberg, YALMIP, https://yalmip.github.io/, 2023.
[26]
Gurobi Optimization, LLC., Gurobi Optimizer Version 9.5.1., https://www.gurobi.com/downloads/gurobi-software/, 2023.
[27]

Z. S. Wang, Y. Shi, Y. M. Tang, X. Y. Meng, J. Cao, and H. F. Wang, Low carbon economy operation and energy efficiency analysis of integrated energy systems considering LCA energy chain and carbon trading mechanism, (in Chinese), Proceedings of the CSEE, vol. 39, no. 6, pp. 1614–1626, 2019.

[28]

Y. Wang, H. Hu, X. Sun, Y. Zhang, and D. Gong, Unified operation optimization model of integrated coal mine energy systems and its solutions based on autonomous intelligence, Appl. Energy, vol. 328, p. 120106, 2022.

[29]

Y. H. Ding, G. Y. Lv, Y. W. Liu, X. Y. Zhang, and J. Li, Day-ahead optimal operation of integrated energy system considering carbon emission target constraints and demand side response, (in Chinese), Southern Power System Technology, vol. 16, no. 8, pp. 1–11, 2022.

[30]

H. H. Yang, Z. Zhou, W. T. Huang, S. Y. Zhou, W. Jiao, and L. Chai, Integrated energy low-carbon economic operation strategy of industrial parks taking into account waste treatment and methanol synthesis, (in Chinese), Power System Technology, vol. 47, no. 10, pp. 4201–4210, 2023.

Complex System Modeling and Simulation
Pages 258-273
Cite this article:
Wu X, Zhang Y, Fei X, et al. Low-Carbon Economic Operation Optimization of Mine Integrated Energy System Considering Energy Supply Uncertainty. Complex System Modeling and Simulation, 2024, 4(3): 258-273. https://doi.org/10.23919/CSMS.2024.0012

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Received: 16 October 2023
Revised: 26 April 2024
Accepted: 03 June 2024
Published: 30 September 2024
© The author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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