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Intelligent decision-making of start-up and shutdown for coal milling system in thermal power plants based on deep reinforcement learning
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Jiachen CAI1, Jun LI1, Ming GAO2, Lin GAO1, Yaokui GAO1, Peng CHANG1
Thermal Power Generation | 2024, 53(3) : 146 - 152
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Thermal Power Generation | 2024, 53(3): 146-152
• Thermal energy science research •
Intelligent decision-making of start-up and shutdown for coal milling system in thermal power plants based on deep reinforcement learning
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Jiachen CAI1, Jun LI1, Ming GAO2, Lin GAO1, Yaokui GAO1, Peng CHANG1
Affiliations
  • 1.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
  • 2.Shaanxi Yanchang Petroleum Fuxian Power Generation Co., Ltd., Yan’an 727502, China
Published: 2024-03-25 doi: 10.19666/j.rlfd.202307118
Outline
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A comprehensive evaluation model for the start-up and shutdown decision-making of the milling system, taking into account the energy consumption and tracking performance of the unit load, has been proposed to address issues such as subjective decision-making based on manual experience, high labor intensity in operation, and difficulty in exploring energy-saving optimization potential. This model safely incorporates the grid load scheduling command signal as input. Furthermore, a milling system start-stop intelligent decision-making method based on deep reinforcement learning has been studied, and a closed-loop control system for the automatic start-stop of the milling system has been developed. The research results have been verified through simulation and successfully applied to a commonly used coal milling system in a certain ultra-supercritical 1 000 MW unit, achieving energy savings. The findings of this study can provide effective reference for the development of unmanned or minimally manned operation techniques for thermal power units.

deep reinforcement learning  /  milling system  /  autonomous start-up and shutdown control  /  intelligent decision-making
Jiachen CAI, Jun LI, Ming GAO, Lin GAO, Yaokui GAO, Peng CHANG. Intelligent decision-making of start-up and shutdown for coal milling system in thermal power plants based on deep reinforcement learning[J]. Thermal Power Generation, 2024 , 53 (3) : 146 -152 . DOI: 10.19666/j.rlfd.202307118
Funding
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  • National Key Research and Development Program(2022YFB4100700)
  • Key Research and Development Program in Shaanxi Province(2023-YBGY-274)
Appendix
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Year 2024 volume 53 Issue 3
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104
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Article Info
doi: 10.19666/j.rlfd.202307118
  • Receive Date：2023-07-25
  • Online Date：2025-12-31
  • Published：2024-03-25
Article Data
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History
  • Received：2023-07-25
Funding
National Key Research and Development Program(2022YFB4100700)
Key Research and Development Program in Shaanxi Province(2023-YBGY-274)
Affiliations
    1.Xi’an Thermal Power Research Institute Co., Ltd., Xi’an 710054, China
    2.Shaanxi Yanchang Petroleum Fuxian Power Generation Co., Ltd., Yan’an 727502, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202307118
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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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