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A Combined Voltage Control Strategy for Fuel Cell

Author

Listed:
  • Li Sun

    (Key Lab of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China)

  • Qingsong Hua

    (School of Mechanical and Electrical Engineering, Qingdao University, Ningxia Road 308, Qingdao 266071, China)

  • Jiong Shen

    (Key Lab of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China)

  • Yali Xue

    (State Key Lab for Power Systems, Tsinghua University, Beijing 100084, China)

  • Donghai Li

    (State Key Lab for Power Systems, Tsinghua University, Beijing 100084, China)

  • Kwang Y. Lee

    (Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798-7356, USA)

Abstract

Control of output voltage is critical for the power quality of solid oxide fuel cells (SOFCs), which is, however, challenging due to electrochemical nonlinearity, load disturbances, modelling uncertainties, and actuator constraints. Moreover, the fuel utilization rate should be limited within a safety range during the voltage regulation transient. The current research is usually appealing to model predictive control (MPC) by formulating the difficulties into a constrained optimization problem, but its huge computational complexity makes it formidable for real-time implementation in practice. To this end, this paper aims to develop a combined control structure, with basic function blocks, to fulfill the objectives with minor computation. Firstly, the disturbance, nonlinearity and uncertainties are lumped as a total disturbance, which is estimated and mitigated by active disturbance rejection controller (ADRC). Secondly, a feed-forward controller is introduced to improve the load disturbance rejection response. Finally, the constraints are satisfied by designing a cautious switching strategy. The simulation results show that the nominal performance of the proposed strategy is comparable to MPC. In the presence of parameter perturbation, the proposed strategy shows a better performance than MPC.

Suggested Citation

  • Li Sun & Qingsong Hua & Jiong Shen & Yali Xue & Donghai Li & Kwang Y. Lee, 2017. "A Combined Voltage Control Strategy for Fuel Cell," Sustainability, MDPI, vol. 9(9), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1517-:d:109973
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    References listed on IDEAS

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    1. Torgeir Suther & Alan Fung & Murat Koksal & Farshid Zabihian, 2010. "Macro Level Modeling of a Tubular Solid Oxide Fuel Cell," Sustainability, MDPI, vol. 2(11), pages 1-12, November.
    2. Alan Cruz Rojas & Guadalupe Lopez Lopez & J. F. Gomez-Aguilar & Victor M. Alvarado & Cinda Luz Sandoval Torres, 2017. "Control of the Air Supply Subsystem in a PEMFC with Balance of Plant Simulation," Sustainability, MDPI, vol. 9(1), pages 1-23, January.
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    Citations

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    Cited by:

    1. Long Wu & Li Sun & Jiong Shen & Qingsong Hua, 2018. "Multiple Model Predictive Hybrid Feedforward Control of Fuel Cell Power Generation System," Sustainability, MDPI, vol. 10(2), pages 1-19, February.
    2. Chen Chen & Lei Pan & Shanjian Liu & Li Sun & Kwang Y. Lee, 2018. "A Sustainable Power Plant Control Strategy Based on Fuzzy Extended State Observer and Predictive Control," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    3. Yuxiao Qin & Li Sun & Qingsong Hua & Ping Liu, 2018. "A Fuzzy Adaptive PID Controller Design for Fuel Cell Power Plant," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    4. Jie Ma & Suning Ma & Xinyi Zhang & Daifen Chen & Juan He, 2018. "Development of Large-Scale and Quasi Multi-Physics Model for Whole Structure of the Typical Solid Oxide Fuel Cell Stacks," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    5. Sun, Li & Jin, Yuhui & You, Fengqi, 2020. "Active disturbance rejection temperature control of open-cathode proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 261(C).
    6. Othman, Ahmed M. & El-Fergany, Attia A., 2021. "Optimal dynamic operation and modeling of parallel connected multi-stacks fuel cells with improved slime mould algorithm," Renewable Energy, Elsevier, vol. 175(C), pages 770-782.
    7. Sun, Li & Li, Guanru & Hua, Q.S. & Jin, Yuhui, 2020. "A hybrid paradigm combining model-based and data-driven methods for fuel cell stack cooling control," Renewable Energy, Elsevier, vol. 147(P1), pages 1642-1652.
    8. Yuhui Jin & Li Sun & Qingsong Hua & Shunjia Chen, 2018. "Experimental Research on Heat Exchanger Control Based on Hybrid Time and Frequency Domain Identification," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    9. Yuxiao Qin & Guodong Zhao & Qingsong Hua & Li Sun & Soumyadeep Nag, 2019. "Multiobjective Genetic Algorithm-Based Optimization of PID Controller Parameters for Fuel Cell Voltage and Fuel Utilization," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    10. Zhenlong Wu & Ting He & Li Sun & Donghai Li & Yali Xue, 2018. "The Facilitation of a Sustainable Power System: A Practice from Data-Driven Enhanced Boiler Control," Sustainability, MDPI, vol. 10(4), pages 1-21, April.
    11. Sun, Li & Shen, Jiong & Hua, Qingsong & Lee, Kwang Y., 2018. "Data-driven oxygen excess ratio control for proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 231(C), pages 866-875.
    12. Uday K. Chakraborty, 2018. "Reversible and Irreversible Potentials and an Inaccuracy in Popular Models in the Fuel Cell Literature," Energies, MDPI, vol. 11(7), pages 1-11, July.
    13. Siwei Han & Li Sun & Jiong Shen & Lei Pan & Kwang Y. Lee, 2018. "Optimal Load-Tracking Operation of Grid-Connected Solid Oxide Fuel Cells through Set Point Scheduling and Combined L1-MPC Control," Energies, MDPI, vol. 11(4), pages 1-23, March.
    14. Algieri, Angelo & Andiloro, Serafina & Tamburino, Vincenzo & Zema, Demetrio Antonio, 2019. "The potential of agricultural residues for energy production in Calabria (Southern Italy)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 1-14.
    15. Orlando Corigliano & Leonardo Pagnotta & Petronilla Fragiacomo, 2022. "On the Technology of Solid Oxide Fuel Cell (SOFC) Energy Systems for Stationary Power Generation: A Review," Sustainability, MDPI, vol. 14(22), pages 1-73, November.

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