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Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power

Author

Listed:
  • Ning Zhang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Wei Gu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Haojun Yu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Wei Liu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

Wind power causes fluctuations in power systems and introduces issues concerning system stability and power quality because of the lack of controllability of its discontinuous and intermittent resources. This paper presents a coordinated control strategy for solid oxide fuel cells (SOFCs) and superconducting magnetic energy storage (SMES) to match the intermittent wind power generation and compensate for the rapid load changes. An optimal H∞ control method, where the weighting function selection is expressed as an optimization problem, is proposed to mitigate tie-line power fluctuations and the mixed-sensitivity approach is used to deal with the interference suppression. Simulation results show that the proposed method significantly improves the smoothing effect of wind power fluctuations. Compared with the conventional control method, the proposed method has better anti-interference performance in various operating situations.

Suggested Citation

  • Ning Zhang & Wei Gu & Haojun Yu & Wei Liu, 2013. "Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power," Energies, MDPI, vol. 6(4), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:4:p:1902-1917:d:24736
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    References listed on IDEAS

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    1. Asier Diaz De Corcuera & Aron Pujana-Arrese & Jose M. Ezquerra & Edurne Segurola & Joseba Landaluze, 2012. "H ∞ Based Control for Load Mitigation in Wind Turbines," Energies, MDPI, vol. 5(4), pages 1-30, April.
    2. Hak-Man Kim & Tetsuo Kinoshita & Myong-Chul Shin, 2010. "A Multiagent System for Autonomous Operation of Islanded Microgrids Based on a Power Market Environment," Energies, MDPI, vol. 3(12), pages 1-19, December.
    3. Hak-Man Kim & Yujin Lim & Tetsuo Kinoshita, 2012. "An Intelligent Multiagent System for Autonomous Microgrid Operation," Energies, MDPI, vol. 5(9), pages 1-16, September.
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    Cited by:

    1. Long-Yi Chang & Hung-Cheng Chen, 2014. "Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells," Energies, MDPI, vol. 7(2), pages 1-16, January.
    2. Lei Chen & Hongkun Chen & Jun Yang & Yanjuan Yu & Kaiwei Zhen & Yang Liu & Li Ren, 2017. "Coordinated Control of Superconducting Fault Current Limiter and Superconducting Magnetic Energy Storage for Transient Performance Enhancement of Grid-Connected Photovoltaic Generation System," Energies, MDPI, vol. 10(1), pages 1-23, January.
    3. Yanjuan Yu & Hongkun Chen & Lei Chen, 2018. "Comparative Study of Electric Energy Storages and Thermal Energy Auxiliaries for Improving Wind Power Integration in the Cogeneration System," Energies, MDPI, vol. 11(2), pages 1-16, January.
    4. Juanjo Ugartemendia & J. Xabier Ostolaza & Itziar Zubia, 2013. "Operating Point Optimization of a Hydrogen Fueled Hybrid Solid Oxide Fuel Cell-Steam Turbine (SOFC-ST) Plant," Energies, MDPI, vol. 6(10), pages 1-23, September.
    5. Mingchao Xia & Xiaoliang Li, 2013. "Design and Implementation of a High Quality Power Supply Scheme for Distributed Generation in a Micro-Grid," Energies, MDPI, vol. 6(9), pages 1-21, September.
    6. Xiaohan Shi & Shaorong Wang & Wei Yao & Asad Waqar & Wenping Zuo & Yuejin Tang, 2015. "Mechanism Analysis and Experimental Validation of Employing Superconducting Magnetic Energy Storage to Enhance Power System Stability," Energies, MDPI, vol. 8(1), pages 1-26, January.

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