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Electric heating coordinated load variation strategy for once through boiler based on time-varying model predictive control
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Xiaoke ZHANG1, Chongshang HAN2, Yiran HAO2, Jianbo WANG1, Shaofeng ZHANG1, Huaizhong HU2
Thermal Power Generation | 2025, 54(3) : 79 - 89
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Thermal Power Generation | 2025, 54(3): 79-89
Thermal energy science research
Electric heating coordinated load variation strategy for once through boiler based on time-varying model predictive control
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Xiaoke ZHANG1, Chongshang HAN2, Yiran HAO2, Jianbo WANG1, Shaofeng ZHANG1, Huaizhong HU2
Affiliations
  • 1.Electric Power Science Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450000, China
  • 2.School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710100, China
Published: 2025-03-25 doi: 10.19666/j.rlfd.202407171
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Under the background of “dual-carbon” goal, the combined heat and power units with once through boilers are required to have the ability to quickly change load. To address this need, a strategy based on linear time-varying model predictive control (LTV-MPC) for coordinating electricity and heat to change unit load is proposed, which can simultaneously utilize boiler heat storage and heat network heat storage to improve the rate of variable load. Firstly, the deviation of the heat load signal is integrated to establish an equivalent heat load model, which is used as one of the controlled variables in the prediction model. Then, by taking rapid load tracking, stable unit operation, and timely compensation for heating as the objective of MPC rolling optimization, the optimal control law for each moment is solved online, and then it is applied to the unit. In addition, the operational constraints of the unit are explicitly addressed to ensure that changes in the heating extraction flow rate do not affect the operational stability of the low-pressure cylinder. Finally, simulation verification is conducted on a 350 MW unit, and the results show that this strategy can accurately track the 5%Pe/min variable load command. Furthermore, the heat load recovery time is reduced by 26% compared with that of the electric heating coordinated variable load strategy based on PID. The simulation results have verified the superiority of the proposed strategy in improving the fast load changing capacity of heating units.

combined heat and power units with once through boilers  /  electric heating coordination  /  rapid load change  /  heating load compensation  /  time-varying model predictive control
Xiaoke ZHANG, Chongshang HAN, Yiran HAO, Jianbo WANG, Shaofeng ZHANG, Huaizhong HU. Electric heating coordinated load variation strategy for once through boiler based on time-varying model predictive control[J]. Thermal Power Generation, 2025 , 54 (3) : 79 -89 . DOI: 10.19666/j.rlfd.202407171
Year 2025 volume 54 Issue 3
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doi: 10.19666/j.rlfd.202407171
  • Receive Date:2024-07-03
  • Online Date:2026-03-06
  • Published:2025-03-25
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  • Received:2024-07-03
Affiliations
    1.Electric Power Science Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450000, China
    2.School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an 710100, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202407171
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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
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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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