Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Power Switching Based on Trajectory Planning and Sliding Mode Control for Solid Oxide Fuel Cell Systems
Author:
Affiliation:

1.Key Laboratory of Imaging Processing and Intelligent Control of Ministry of Education, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China;2.Hubei Huazhong Electric Power Technology Development Co., Ltd., Wuhan, China;3.School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China;4.School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China;5.Wuhan Huamao Automation Co., Ltd., Wuhan, China;6.Research Institute of Huazhong University of Science and Technology in Shenzhen, Shenzhen, China

Fund Project:

This work was supported by the National Key Research and Development Program of China (No. 2022YFB4003805), Jiangsu Key Research and Development Program (No. BE2023092-3), Hubei Province Local Leaded by Central Science and Technology Development Special Project (No. 2023EG001), and International Science and Technology Cooperation Project in Hubei Province (No. 2022EHB011).

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    Abstract:

    To improve the safety of the solid oxide fuel cell (SOFC) systems and avoid the generation of large amounts of pollutants during power switching, this paper designs a power switching strategy based on trajectory planning and sliding mode control (TP-SMC). The design elements of the power switching strategy are proposed through simulation analysis at first. Then, based on the gas transmission delay time and the change of gas flow obtained from testing, trajectory planning (TP) is implemented. Compared with other power switching strategies, it has been proven that the power switching strategy based on TP has significantly better control performance. Furthermore, considering the shortcomings and problems of TP in practical application, this paper introduces sliding mode control (SMC) on the basis of TP to improve the power switching strategy. The final simulation results also prove that the TP-SMC can effectively suppress the impact of uncertainty in gas flow and gas transmission delay time. Compared with TP, TP-SMC can ensure that under uncertain conditions, the SOFC system does not experience fuel starvation and temperature exceeding limit during power switching. Meanwhile, the NOx emissions are also within the normal and acceptable range. This paper can guide the power switching process of the actual SOFC systems to avoid safety issues and excessive generation of NOx, which is very helpful for improving the performance and service life of the SOFC systems.

    图1 Schematic diagram of SOFC system.Fig.1
    图2 Comparison of change of gas flow with actual test data.Fig.2
    图5 NOx emission characteristics of burner. (a) Molar fraction of NOx from half load to full load. (b) NOx emission from full load to half load.Fig.5
    图8 Schematic diagram of power switching control for SOFC system.Fig.8
    表 1 Table 1
    图3 Fuel margin and burner temperature of SOFC system from half load to full load. (a) Hydrogen concentration. (b) Tburner.Fig.3
    图4 Fuel margin and burner temperature of SOFC system from full load to half load. (a) Hydrogen concentration. (b) Tburner.Fig.4
    图6 Stack current for four different switching strategies. (a) Icell from half load to full load. (b) Icell from full load to half load.Fig.6
    图7 Performance of different power switching strategies. (a) Hydrogen concentration from half load to full load. (b) Tburner from half load to full load. (c) NOx emission from half load to full load. (d) Hydrogen concentration from full load to half load. (e) Tburner from full load to half load. (f) NOx emission from full load to half load.Fig.7
    图9 Control performance comparison under different time constants. (a) Icell from half load to full load. (b) Hydrogen concentration from half load to full load. (c) NOx emission from half load to full load. (d) Icell from full load to half load. (e) Hydrogen concentration from full load to half load. (f) NOx emission from full load to half load.Fig.9
    图10 Control performance comparison under different shift time. (a) Icell from half load to full load. (b) Hydrogen concentration from half load to full load. (c) NOx emission from half load to full load. (d) Icell from full load to half load. (e) Hydrogen concentration from full load to half load. (f) NOx emission from full load to half load.Fig.10
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History
  • Received:March 16,2024
  • Revised:May 10,2024
  • Adopted:
  • Online: December 20,2024
  • Published: