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Adaptive back pressure control and optimization in frequency domain for flexible operation air cooling unit
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Shiquan ZENG1, Ping'an KAI2, Zhibao ZHUANG3, Xiaoyu HUANG4, Hui DENG1
Thermal Power Generation | 2023, 52(5) : 115 - 121
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Thermal Power Generation | 2023, 52(5): 115-121
Thermal energy and science research
Adaptive back pressure control and optimization in frequency domain for flexible operation air cooling unit
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Shiquan ZENG1, Ping'an KAI2, Zhibao ZHUANG3, Xiaoyu HUANG4, Hui DENG1
Affiliations
  • 1.Energy and Electric Power Research Center, Jinan University, Zhuhai 519070, China
  • 2.Institute of Energy Research, National Development and Reform Commission, Beijing 100055, China
  • 3.Baicheng Power Generation Company, Jilin Power Share Co., Ltd., Baicheng 137000, China
  • 4.Hubei Yusu New Energy Technology Co., Ltd., Yichang 443000, China
Published: 2023-05-25 doi: 10.19666/j.rlfd.202211171
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In the context of energy transition driven by "carbon peak and carbon neutrality", an adaptive PID control algorithm in frequency domain is proposed to solve the quality problem of steam turbine back pressure regulation caused by frequent change of operating conditions in flexible air-cooled thermal power units. Considering the practicality and accuracy of the variable working condition model, on the basis of the site operation data, the improved particle swarm optimization (PSO) algorithm is used to identify the dynamic system of multiple working conditions of the air cooling unit. Then, based on the nominal model of the controlled object operated under multiple working conditions, the transfer function configuration mode adaptive method is employed to calculate and optimize the parameters of PID controller in real time, thus to adapt to the change of model parameters of the controlled object under flexible operation and overcome the control quality problems caused by PID controller structure and fixed parameters. The simulation results show that, the adaptive PID controller in frequency domain can well track the variation of model parameters under different load conditions, which makes the back pressure control keep good control quality.

flexible operation  /  system identification  /  transfer function configuration  /  back pressure control system  /  adaptive in frequency domain
Shiquan ZENG, Ping'an KAI, Zhibao ZHUANG, Xiaoyu HUANG, Hui DENG. Adaptive back pressure control and optimization in frequency domain for flexible operation air cooling unit[J]. Thermal Power Generation, 2023 , 52 (5) : 115 -121 . DOI: 10.19666/j.rlfd.202211171
  • Technology Project of Jilin Power Share Co., Ltd.(410011JX20200024)
Year 2023 volume 52 Issue 5
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Article Info
doi: 10.19666/j.rlfd.202211171
  • Receive Date:2022-11-14
  • Online Date:2026-01-23
  • Published:2023-05-25
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  • Received:2022-11-14
Funding
Technology Project of Jilin Power Share Co., Ltd.(410011JX20200024)
Affiliations
    1.Energy and Electric Power Research Center, Jinan University, Zhuhai 519070, China
    2.Institute of Energy Research, National Development and Reform Commission, Beijing 100055, China
    3.Baicheng Power Generation Company, Jilin Power Share Co., Ltd., Baicheng 137000, China
    4.Hubei Yusu New Energy Technology Co., Ltd., Yichang 443000, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202211171
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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
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种数
Number of
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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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