Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage
With the rapid development of modern industry, while improving people's living standards, the over-exploitation of coal, oil and natural gas has led to a shortage of fossil energy, global warming and an increasingly serious deterioration of the ecological environment. To mitigate the greenhouse...
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sg-ntu-dr.10356-1696362023-07-28T15:39:34Z Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage Liu, Xinghua Li, Xiang Tian, Jiaqiang Yang, Guoqing Wu, Huibao Ha, Rong Wang, Peng School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Low-Carbon Electricity Integrated Electricity-Gas System With the rapid development of modern industry, while improving people's living standards, the over-exploitation of coal, oil and natural gas has led to a shortage of fossil energy, global warming and an increasingly serious deterioration of the ecological environment. To mitigate the greenhouse effect caused by excessive carbon emissions, the vigorous development of integrated electricity-gas system (IEGS) dominated by clean energy is the future trend of sustainable development of energy systems. In this paper, a bi-level optimal scheduling model is proposed for an IEGS considering carbon capture, utilization and storage (CCUS), and the ladder carbon trading mechanism is introduced to convert carbon emissions into economic benefits. The upper model is an optimal distribution model of natural gas network, and the lower model is a day-ahead economic dispatch model of power system. Based on the Karush-Kuhn-Tucher (KKT) condition and strong duality theory of the lower model, the bi-level model is transformed into a mixed integer linear programming (MILP), which is solved by calling CPLEX through the Yalmip toolbox of the Matlab platform. Finally, the reasonableness and validity of the model are verified by three arithmetic simulations. The results show that the proposed bi-level model for low-carbon economic dispatch of IEGS considering CCUS can effectively reduce the operating costs and carbon emissions of the system. Published version This work was supported in part by the National Natural Science Foundation of China under Grant U2003110 and Grant 62203352, in part by the Key Laboratory Project of Shaanxi Provincial, and in part by the High Level Talents Plan of Shaanxi Province for Young Professionals. 2023-07-27T05:35:59Z 2023-07-27T05:35:59Z 2023 Journal Article Liu, X., Li, X., Tian, J., Yang, G., Wu, H., Ha, R. & Wang, P. (2023). Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage. IEEE Access, 11, 25077-25089. https://dx.doi.org/10.1109/ACCESS.2023.3255508 2169-3536 https://hdl.handle.net/10356/169636 10.1109/ACCESS.2023.3255508 2-s2.0-85149887088 11 25077 25089 en IEEE Access © 2023 The Author(s). Published by IEEE.This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/. application/pdf |
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Engineering::Electrical and electronic engineering Low-Carbon Electricity Integrated Electricity-Gas System Liu, Xinghua Li, Xiang Tian, Jiaqiang Yang, Guoqing Wu, Huibao Ha, Rong Wang, Peng Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage |
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With the rapid development of modern industry, while improving people's living standards, the over-exploitation of coal, oil and natural gas has led to a shortage of fossil energy, global warming and an increasingly serious deterioration of the ecological environment. To mitigate the greenhouse effect caused by excessive carbon emissions, the vigorous development of integrated electricity-gas system (IEGS) dominated by clean energy is the future trend of sustainable development of energy systems. In this paper, a bi-level optimal scheduling model is proposed for an IEGS considering carbon capture, utilization and storage (CCUS), and the ladder carbon trading mechanism is introduced to convert carbon emissions into economic benefits. The upper model is an optimal distribution model of natural gas network, and the lower model is a day-ahead economic dispatch model of power system. Based on the Karush-Kuhn-Tucher (KKT) condition and strong duality theory of the lower model, the bi-level model is transformed into a mixed integer linear programming (MILP), which is solved by calling CPLEX through the Yalmip toolbox of the Matlab platform. Finally, the reasonableness and validity of the model are verified by three arithmetic simulations. The results show that the proposed bi-level model for low-carbon economic dispatch of IEGS considering CCUS can effectively reduce the operating costs and carbon emissions of the system. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Liu, Xinghua Li, Xiang Tian, Jiaqiang Yang, Guoqing Wu, Huibao Ha, Rong Wang, Peng |
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Article |
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Liu, Xinghua Li, Xiang Tian, Jiaqiang Yang, Guoqing Wu, Huibao Ha, Rong Wang, Peng |
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Liu, Xinghua |
title |
Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage |
title_short |
Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage |
title_full |
Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage |
title_fullStr |
Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage |
title_full_unstemmed |
Low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage |
title_sort |
low-carbon economic dispatch of integrated electricity-gas energy system considering carbon capture, utilization and storage |
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2023 |
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https://hdl.handle.net/10356/169636 |
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1773551248295854080 |