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Adaptive Control of Fuel Cell Converter Based on a New Hamiltonian Energy Function for Stabilizing the DC Bus in DC Microgrid Applications

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  • Phatiphat Thounthong

    (Renewable Energy Research Centre (RERC), King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Wongsawang, Bangsue, Bangkok 10800, Thailand
    Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand)

  • Pongsiri Mungporn

    (Renewable Energy Research Centre (RERC), King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Wongsawang, Bangsue, Bangkok 10800, Thailand
    Thai-French Innovation Institute, King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand)

  • Serge Pierfederici

    (Laboratoire d’Energétique et de Mécanique Théorique et Appliquée (LEMTA), Université de Lorraine, CNRS, LEMTA, F-54000 Nancy, France)

  • Damien Guilbert

    (Groupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, GREEN, F-54000 Nancy, France)

  • Nicu Bizon

    (Department of Electronics, Computers and Electrical Engineering, Faculty of Electronics, Communications and Computers, University of Pitesti, 1 Targul din Vale, 110040 Pitesti, Romania)

Abstract

DC microgrid applications include electric vehicle systems, shipboard power systems, and More Electric Aircraft (MEA), which produce power at a low voltage level. Rapid developments in hydrogen fuel cell (FC) energy have extended the applications of multi-phase parallel interleaved step-up converters in stabilizing DC bus voltage. The cascade architecture of power converters in DC microgrids may lead to large oscillation and even risks of instability given that the load converters considered as loads feature constant power load (CPL) characteristics. In this article, the output DC bus voltage stabilization and the current sharing of a multi-phase parallel interleaved FC boost converter is presented. The extended Port-Hamiltonian (pH) form has been proposed with the robust controller by adding an integrator action based on the Lyapunov−Energy function, named “Adaptive Hamiltonian PI controller”. The stability and robustness of the designed controller have been estimated by using Mathematica and Matlab/Simulink environments and successfully authenticated by performing experimental results in the laboratory. The results have been obtained using a 2.5 kW prototype FC converter (by two-phase parallel interleaved boost converters) with a dSPACE MicroLabBox platform. The FC main source system is based on a fuel reformer engine that transforms fuel methanol and water into hydrogen gas H 2 to a polymer electrolyte membrane FC stack (50 V, 2.5 kW).

Suggested Citation

  • Phatiphat Thounthong & Pongsiri Mungporn & Serge Pierfederici & Damien Guilbert & Nicu Bizon, 2020. "Adaptive Control of Fuel Cell Converter Based on a New Hamiltonian Energy Function for Stabilizing the DC Bus in DC Microgrid Applications," Mathematics, MDPI, vol. 8(11), pages 1-25, November.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:11:p:2035-:d:445317
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    References listed on IDEAS

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    1. Nicu Bizon & Alin Gheorghita Mazare & Laurentiu Mihai Ionescu & Phatiphat Thounthong & Erol Kurt & Mihai Oproescu & Gheorghe Serban & Ioan Lita, 2019. "Better Fuel Economy by Optimizing Airflow of the Fuel Cell Hybrid Power Systems Using Fuel Flow-Based Load-Following Control," Energies, MDPI, vol. 12(14), pages 1-17, July.
    2. Pei Zhou & Renming Yang & Guangyuan Zhang & Yaozhen Han, 2019. "Adaptive Robust Simultaneous Stabilization of Two Dynamic Positioning Vessels Based on a Port-Controlled Hamiltonian (PCH) Model," Energies, MDPI, vol. 12(20), pages 1-14, October.
    3. Gang Yao & Changbo Du & Quanbo Ge & Haoyu Jiang & Yide Wang & Mourad Ait-Ahmed & Luc Moreau, 2019. "Traffic-Condition-Prediction-Based HMA-FIS Energy-Management Strategy for Fuel-Cell Electric Vehicles," Energies, MDPI, vol. 12(23), pages 1-21, November.
    4. Hui Yang & Rui Tu & Ke Wang & Jiaxing Lei & Wenjia Wang & Shuang Feng & Chaofan Wei, 2019. "A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid," Energies, MDPI, vol. 12(21), pages 1-14, October.
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    Cited by:

    1. Vitor Fernão Pires & Armando Pires & Armando Cordeiro, 2023. "DC Microgrids: Benefits, Architectures, Perspectives and Challenges," Energies, MDPI, vol. 16(3), pages 1-20, January.

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