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Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Author

Listed:
  • Yonghui Li

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Qiuwei Wu

    (Center for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, Kgs. Lyngby 2800, Denmark
    These authors contributed equally to this work.)

  • Haiyu Zhu

    (Wuhan Guoce Science & Technology Co., Ltd., Wuhan 430223, China
    These authors contributed equally to this work.)

Abstract

Based on the benchmark solid oxide fuel cell (SOFC) dynamic model for power system studies and the analysis of the SOFC operating conditions, the nonlinear programming (NLP) optimization method was used to determine the maximum electrical efficiency of the grid-connected SOFC subject to the constraints of fuel utilization factor, stack temperature and output active power. The optimal operating conditions of the grid-connected SOFC were obtained by solving the NLP problem considering the power consumed by the air compressor. With the optimal operating conditions of the SOFC for the maximum efficiency operation obtained at different active power output levels, a hierarchical load tracking control scheme for the grid-connected SOFC was proposed to realize the maximum electrical efficiency operation with the stack temperature bounded. The hierarchical control scheme consists of a fast active power control and a slower stack temperature control. The active power control was developed by using a decentralized control method. The efficiency of the proposed hierarchical control scheme was demonstrated by case studies using the benchmark SOFC dynamic model.

Suggested Citation

  • Yonghui Li & Qiuwei Wu & Haiyu Zhu, 2015. "Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation," Energies, MDPI, vol. 8(3), pages 1-21, March.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:3:p:1896-1916:d:46679
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    References listed on IDEAS

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    Cited by:

    1. Muhammad Awais & Laiq Khan & Saghir Ahmad & Mohsin Jamil, 2021. "Feedback-Linearization-Based Fuel-Cell Adaptive-Control Paradigm in a Microgrid Using a Wavelet-Entrenched NeuroFuzzy Framework," Energies, MDPI, vol. 14(7), pages 1-17, March.
    2. Ramadhani, Farah & Hussain, M.A. & Mokhlis, Hazlie & Fazly, Muhamad & Ali, Jarinah Mohd., 2019. "Evaluation of solid oxide fuel cell based polygeneration system in residential areas integrating with electric charging and hydrogen fueling stations for vehicles," Applied Energy, Elsevier, vol. 238(C), pages 1373-1388.

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