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Intelligent decision-making system for thermal power unit operation in new power system
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Yingjie BAO1, Jieyong HAO1, Changkai YU1, Xun WU1, Yingge YANG1, Yanxuan LIANG1, Hai LIU1, Shiqing MA1, Yan YANG1, Fei LAI2, Tao WU2
Thermal Power Generation | 2024, 53(1) : 183 - 187
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Thermal Power Generation | 2024, 53(1): 183-187
Power generation technology forum
Intelligent decision-making system for thermal power unit operation in new power system
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Yingjie BAO1, Jieyong HAO1, Changkai YU1, Xun WU1, Yingge YANG1, Yanxuan LIANG1, Hai LIU1, Shiqing MA1, Yan YANG1, Fei LAI2, Tao WU2
Affiliations
  • 1.Huaneng Luohuang Generation Co., Ltd., Chongqing 402283, China
  • 2.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
Published: 2024-01-25 doi: 10.19666/j.rlfd.202305128
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Thermal power units are faced with a variety of ways to sell electric heating products, such as electricity contract market, spot market electricity sales, auxiliary service market electricity sales, civil heating and industrial heating. It is necessary to optimize the distribution of limited thermal power unit electric heating products in various markets according to the market trading mechanism, operating costs and carbon emission cost to obtain maximum profits. The intelligent decision-making system can help thermal power units to provide the optimal group and bidding strategy at all levels of the market, business accounting and the optimal operation mode of units.

new power system  /  intelligent decision-making  /  multilevel electricity market  /  carbon emission
Yingjie BAO, Jieyong HAO, Changkai YU, Xun WU, Yingge YANG, Yanxuan LIANG, Hai LIU, Shiqing MA, Yan YANG, Fei LAI, Tao WU. Intelligent decision-making system for thermal power unit operation in new power system[J]. Thermal Power Generation, 2024 , 53 (1) : 183 -187 . DOI: 10.19666/j.rlfd.202305128
Year 2024 volume 53 Issue 1
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doi: 10.19666/j.rlfd.202305128
  • Receive Date:2023-05-05
  • Online Date:2025-12-25
  • Published:2024-01-25
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  • Received:2023-05-05
Affiliations
    1.Huaneng Luohuang Generation Co., Ltd., Chongqing 402283, China
    2.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202305128
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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
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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