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Optimization scheduling of distribution networks considering carbon emission flow and staged carbon trading
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Daxin Wang1, 2, Qian Zhang1, 3, Shicheng Zheng4, Yuting Hua5, Huahu Cui6
Renewable Energy Resources | 2024, 42(12) : 1661 - 1670
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Renewable Energy Resources | 2024, 42(12): 1661-1670
Optimization scheduling of distribution networks considering carbon emission flow and staged carbon trading
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Daxin Wang1, 2, Qian Zhang1, 3, Shicheng Zheng4, Yuting Hua5, Huahu Cui6
Affiliations
  • 1 School of Electrical Engineering and Automation Anhui University Hefei 230601 China
  • 2 Engineering Research Center of Power Quality, Ministry of Education Anhui University Hefei 230601 China
  • 3 Anhui Key Laboratory of Industrial Energy-Saving and Safety Anhui University Hefei 230601 China
  • 4 School of Electrical and Information Engineering Anhui University of Technology Ma'anshan 243032 China
  • 5 Institute of Energy Hefei Comprehensive National Science Center Hefei 230031 China
  • 6 Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control Anhui University Hefei 230601 China
Published: 2024-12-20
Outline
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Under the context of "dual carbon," an optimization scheduling model considering carbon emission flow and staged carbon trading mechanism is proposed in this paper to promote the lowcarbon economic operation of distribution networks. Firstly, the participation of distribution networks in the carbon trading market is taken into account, and the theory of carbon emission flow is introduced to determine the carbon emission status of each node within the distribution network. Subsequently, the stochastic states of electric vehicles are determined using the Monte Carlo algorithm, and the carbon quota of power generation equipment is obtained based on the entropy weight method. Simultaneously, a carbon quota model for electric vehicles is constructed, and a staged carbon trading mechanism is applied to model electric vehicles, photovoltaic units, wind power generation, and thermal power units. Finally, the system is optimized using an improved particle swarm optimization algorithm, with the objectives of minimizing the system operating cost and maximizing the system carbon income. The proposed model is verified through case studies conducted on an improved IEEE33 node distribution network system, where four operating scenarios are set. The research results demonstrate that the proposed model reduces carbon emissions by 539.43 tons, and the amount of wind and light discarded is reduced by 555.27 kW·h, which also makes the system's carbon revenue increase by 79.627 9 yuan.

carbon emission stream  /  carbon trading  /  electric vehicles  /  economic dispatch  /  improved PSO algorithm
Daxin Wang, Qian Zhang, Shicheng Zheng, Yuting Hua, Huahu Cui. Optimization scheduling of distribution networks considering carbon emission flow and staged carbon trading[J]. Renewable Energy Resources, 2024 , 42 (12) : 1661 -1670 .
Year 2024 volume 42 Issue 12
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  • Receive Date:2023-12-28
  • Online Date:2025-07-22
  • Published:2024-12-20
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  • Received:2023-12-28
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Affiliations
    1 School of Electrical Engineering and Automation Anhui University Hefei 230601 China
    2 Engineering Research Center of Power Quality, Ministry of Education Anhui University Hefei 230601 China
    3 Anhui Key Laboratory of Industrial Energy-Saving and Safety Anhui University Hefei 230601 China
    4 School of Electrical and Information Engineering Anhui University of Technology Ma'anshan 243032 China
    5 Institute of Energy Hefei Comprehensive National Science Center Hefei 230031 China
    6 Anhui Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control Anhui University Hefei 230601 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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