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Optimization of thermoelectric load distribution in coupled multi-unit heating modes based on particle swarm algorithm
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Jue WEN1, Hongbo SHI1, Kangkang XUE1, Xiaojun XUE2, Wei YUAN3, Chao CAO1, Letian ZHANG1
Thermal Power Generation | 2025, 54(12) : 94 - 101
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Thermal Power Generation | 2025, 54(12): 94-101
• Combustion optimization and intelligent operation •
Optimization of thermoelectric load distribution in coupled multi-unit heating modes based on particle swarm algorithm
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Jue WEN1, Hongbo SHI1, Kangkang XUE1, Xiaojun XUE2, Wei YUAN3, Chao CAO1, Letian ZHANG1
Affiliations
  • 1.Northwest Electric Power Test and Research Institute of China Datang Group Science and Technology Research Institute Co., Ltd., Xi’an 710021, China
  • 2.School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030031, China
  • 3.School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
Published: 2025-12-25 doi: 10.19666/j.rlfd.202503053
Outline
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When multiple units are used for combined heating, the distribution of thermoelectric loads among the units significantly affects overall energy consumption. For a thermal power plant where Unit 1 and Unit 3 adopt a dual-mode coupled heat-supply method with zero output of the low-pressure cylinder and steam extraction, and Unit 2 and Unit 4 adopt a triple-mode coupled heat-supply method with high back-pressure, heat pump, and steam extraction, an off-design condition model was established using EBSILON software. The thermoelectric characteristics and energy consumption characteristics were analyzed by adjusting parameters such as main steam flow, zero output steam volume of the low-pressure cylinder, heat supply power of the heat pump, and high-back-pressure heat-supply flow rate. The operational boundaries of electrical and thermal loads and the relationship between coal consumption and thermoelectric load were fitted using the least squares method. Under the fixed boundary conditions for the entire plant’s heating load and power supply load, the optimization of thermoelectric load distribution was achieved using particle swarm optimization. The results indicate that large-capacity high back pressure heat pump units should provide heat load, and small-capacity high back pressure heat pump units should provide electric load. After optimization, the total coal consumption of the whole plant was reduced by 0.6~10.0 t/h, resulting in a degree of optimization of 0.3%~3.9%.

particle swarm optimization  /  thermoelectric load distribution  /  multi-unit coupled heating  /  heating characteristics  /  total coal consumption of the whole plant
Jue WEN, Hongbo SHI, Kangkang XUE, Xiaojun XUE, Wei YUAN, Chao CAO, Letian ZHANG. Optimization of thermoelectric load distribution in coupled multi-unit heating modes based on particle swarm algorithm[J]. Thermal Power Generation, 2025 , 54 (12) : 94 -101 . DOI: 10.19666/j.rlfd.202503053
Funding
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  • National Natural Science Foundation of China(52406019)
  • Natural Science Foundation of Hebei Province(E2022502052)
Appendix
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Year 2025 volume 54 Issue 12
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261
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Article Info
doi: 10.19666/j.rlfd.202503053
  • Receive Date：2025-03-27
  • Online Date：2026-01-13
  • Published：2025-12-25
Article Data
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History
  • Received：2025-03-27
Funding
National Natural Science Foundation of China(52406019)
Natural Science Foundation of Hebei Province(E2022502052)
Affiliations
    1.Northwest Electric Power Test and Research Institute of China Datang Group Science and Technology Research Institute Co., Ltd., Xi’an 710021, China
    2.School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030031, China
    3.School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
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红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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