Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading
This study proposes an optimized dispatch model for integrated energy systems (IES) incorporating electric vehicles (EVs) and carbon emission trading (CET) to analyze their dynamic interactions. The model aims to minimize IES operating costs by systematically evaluating the impacts of EV penetration...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10975782/ |
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| _version_ | 1850191379578224640 |
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| author | Yanhong Xiao Bin Qian Jiaxiang Ou Weibin Lin Houpeng Hu Xiaoming Lin Yuedan Deng Jianlin Tang |
| author_facet | Yanhong Xiao Bin Qian Jiaxiang Ou Weibin Lin Houpeng Hu Xiaoming Lin Yuedan Deng Jianlin Tang |
| author_sort | Yanhong Xiao |
| collection | DOAJ |
| description | This study proposes an optimized dispatch model for integrated energy systems (IES) incorporating electric vehicles (EVs) and carbon emission trading (CET) to analyze their dynamic interactions. The model aims to minimize IES operating costs by systematically evaluating the impacts of EV penetration levels and CET parameters on economic and environmental performance. Methodologically, Monte Carlo simulations characterize stochastic EV behaviors, a stepwise CET mechanism is developed with emission thresholds, and piecewise linearization combined with convex relaxation transforms nonlinear constraints into tractable formulations. The YALMIP/GUROBI solver is employed to compare eight dispatch scenarios. Key results demonstrate that integrating EVs with carbon capture under CET reduces operating costs by 7.64% and emissions by 17.68%. System emissions exhibit a U-shaped relationship with EV penetration, reaching a minimum at 9.20%. Maximum emission reductions from EV charging optimization occur when CET prices range 250-300 CNY/ton and EV penetration spans 12.31%-19.43%, providing critical thresholds for policy design. |
| format | Article |
| id | doaj-art-d14d79cb74124c1c8f65613c46e3f19b |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d14d79cb74124c1c8f65613c46e3f19b2025-08-20T02:14:56ZengIEEEIEEE Access2169-35362025-01-0113741477416210.1109/ACCESS.2025.356399410975782Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission TradingYanhong Xiao0Bin Qian1Jiaxiang Ou2Weibin Lin3Houpeng Hu4Xiaoming Lin5Yuedan Deng6Jianlin Tang7https://orcid.org/0009-0000-7720-1423Guizhou Power Grid Company Ltd., Guiyang, Guizhou, ChinaCSG Electric Power Research Institute, Guangzhou, Guangdong, ChinaGuizhou Power Grid Company Ltd., Guiyang, Guizhou, ChinaCSG Electric Power Research Institute, Guangzhou, Guangdong, ChinaGuizhou Power Grid Company Ltd., Guiyang, Guizhou, ChinaCSG Electric Power Research Institute, Guangzhou, Guangdong, ChinaGuizhou Power Grid Company Ltd., Guiyang, Guizhou, ChinaCSG Electric Power Research Institute, Guangzhou, Guangdong, ChinaThis study proposes an optimized dispatch model for integrated energy systems (IES) incorporating electric vehicles (EVs) and carbon emission trading (CET) to analyze their dynamic interactions. The model aims to minimize IES operating costs by systematically evaluating the impacts of EV penetration levels and CET parameters on economic and environmental performance. Methodologically, Monte Carlo simulations characterize stochastic EV behaviors, a stepwise CET mechanism is developed with emission thresholds, and piecewise linearization combined with convex relaxation transforms nonlinear constraints into tractable formulations. The YALMIP/GUROBI solver is employed to compare eight dispatch scenarios. Key results demonstrate that integrating EVs with carbon capture under CET reduces operating costs by 7.64% and emissions by 17.68%. System emissions exhibit a U-shaped relationship with EV penetration, reaching a minimum at 9.20%. Maximum emission reductions from EV charging optimization occur when CET prices range 250-300 CNY/ton and EV penetration spans 12.31%-19.43%, providing critical thresholds for policy design.https://ieeexplore.ieee.org/document/10975782/IESlow-carbon optimal dispatchcarbon tradingelectric vehiclescarbon capture |
| spellingShingle | Yanhong Xiao Bin Qian Jiaxiang Ou Weibin Lin Houpeng Hu Xiaoming Lin Yuedan Deng Jianlin Tang Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading IEEE Access IES low-carbon optimal dispatch carbon trading electric vehicles carbon capture |
| title | Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading |
| title_full | Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading |
| title_fullStr | Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading |
| title_full_unstemmed | Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading |
| title_short | Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading |
| title_sort | optimized scheduling of integrated energy systems considering electric vehicles and carbon emission trading |
| topic | IES low-carbon optimal dispatch carbon trading electric vehicles carbon capture |
| url | https://ieeexplore.ieee.org/document/10975782/ |
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