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Research on multi-time scale optimal scheduling considering optimal consumption of new energy and carbon capture power plants
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He Jiang1, 2, Hang Zhou1, 2, Yan Zhao1, 2, Xiaoyu Sun1, 2, Xiangpeng Xie3
Renewable Energy Resources | 2024, 42(11) : 1536 - 1545
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Renewable Energy Resources | 2024, 42(11): 1536-1545
Research on multi-time scale optimal scheduling considering optimal consumption of new energy and carbon capture power plants
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He Jiang1, 2, Hang Zhou1, 2, Yan Zhao1, 2, Xiaoyu Sun1, 2, Xiangpeng Xie3
Affiliations
  • 1 School of Renewable Energy Shenyang Institute of Engineering Shenyang 110136 China
  • 2 Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang 110136 China
  • 3 Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China
Published: 2024-11-20
Outline
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Given the increasing proportion of new energy power generation, the deepening of electricthermal coupling, and the high carbon emissions of coalfired units, a multitimescale scheduling model of multienergy system including carbon capture power plants is established based on new energy optimal consumption and electricthermal demand response. First, the carbon capture coalfired power plant model with integrated flexible operation mode is established. It can reduce the carbon emissions of the system and improve the flexibility of coalfired units to cooperate with new energy sources. Second, the different demand response resources are applied to the load demand of different time scales, which can reduce the load peaktovalley difference and cooperate with the optimal consumption strategy of new energy to explore the lowcarbon characteristics of carbon capture based coalfired power plants. Third, considering multiple types of power and heat source equipment and taking the minimization of system operating costs as the objective function, a dayahead intraday realtime multi time scale scheduling model is established for sourceload coordination. It can optimize the load distribution and unit output plan under different time scales, and improve the new energy consumption capacity. Finally, the effectiveness and feasibility of the model are verified by experimental simulation results.

carbon capture  /  optimal consumption  /  carbon emissions  /  multi-time scale  /  demand response
He Jiang, Hang Zhou, Yan Zhao, Xiaoyu Sun, Xiangpeng Xie. Research on multi-time scale optimal scheduling considering optimal consumption of new energy and carbon capture power plants[J]. Renewable Energy Resources, 2024 , 42 (11) : 1536 -1545 .
Year 2024 volume 42 Issue 11
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Article Info
  • Receive Date:2023-10-20
  • Online Date:2025-07-22
  • Published:2024-11-20
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  • Received:2023-10-20
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Affiliations
    1 School of Renewable Energy Shenyang Institute of Engineering Shenyang 110136 China
    2 Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang 110136 China
    3 Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China
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表12种不同金属材料的力学参数

Family
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Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Number of
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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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