Boost DC-DC Converter Design for Improved Performance and Stability of Fuel Cell Using Model Predictive Control and Firefly Optimization Algorithm

Document Type : Research paper

Authors

1 Kazakh National Agrarian Research University, Abai 8 Almaty, Kazakhstan

2 Department of Optical Techniques, Al-Zahrawi University College, Karbala, Iraq

3 Department of Biomedical Engineering, Mazaya University College, Iraq

4 Department of Biomedical Engineering, Al-Esraa University College, Baghdad, Iraq

5 Department of Biomedical Engineering, AL-Nisour University College, Baghdad, Iraq

6 College of Technical Engineering, National University of Science and Technology, Dhi Qar, Iraq

7 College of Petroleum Engineering, Al-Ayen University, Thi-Qar , Iraq

8 Department of Biomedical Engineering, Ashur University College, Baghdad, Iraq

Abstract

    DC-DC converters play a crucial role in fuel cell power generation systems, serving as an interface between the fuel cell and the load. Boost converters have gained popularity due to their ability to increase input voltage. However, the performance and efficiency of DC-DC converters in fuel cell power systems have posed significant challenges. This study proposes the use of Model Predictive Control (MPC) and the Firefly Optimization Algorithm (FA) for designing and controlling boost DC-DC converters in the most efficient manner. Initially, stability analysis and precise modeling techniques were employed to optimize the characteristics of boost DC-DC converters in fuel cell power generation systems. Subsequently, the predictive control method, utilizing the Firefly optimization algorithm, was applied to enhance converter performance under diverse conditions. The outcomes of the designed control system were compared with conventional methods. Both predictive control and the Firefly optimization algorithm were integrated into the design and control processes of boost DC-DC converters in fuel cell. Based on the simulation results and stability evaluations, the application of the Firefly algorithm and predictive control led to a significant improvement, increasing the system efficiency by approximately 4.7%. These findings highlight the effectiveness of the proposed approach in enhancing the performance of DC-DC boost converters in fuel cell.

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References

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Journal of Operation and Automation in Power Engineering
Volume 11, Special Issue
Sustainable Power Systems, Energy Management, and Global Warming
March 2023

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History

  • Receive Date: 14 October 2023
  • Revise Date: 30 October 2023
  • Accept Date: 08 November 2023
  • First Publish Date: 17 January 2024

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