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Improved drift-free P&O MPPT method to enhance energy harvesting capability for dynamic operating conditions of fuel cells

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  • Büyük, Mehmet
  • İnci, Mustafa

Abstract

The current study introduces an improved MPPT algorithm to enhance energy harvesting capacity for momentary operating situations of FC. The proposed drift-free MPPT is employed to eliminate the situation caused by an incorrect decision of the classical P&O method during rapid changes in dynamic conditions. The traditional P&O method is based on slope characteristics of the ΔP/ΔV (power change/voltage change). Dynamic temperature/pressure changes in an FC system affect the system's operational point. In addition to ΔP and ΔV in the classical P&O algorithm, it is aimed to eliminate drift problem that occurs in FC systems by using the current change (ΔI) information in the decision process of the proposed algorithm. The proposed method is tested in a stand-alone FC system, including PEMFC with a rating of 100 W, a dc-dc boost converter, and a constant impedance load. In the operating system, the PEMFC stack is designed and implemented according to the actual working situations of Horizon H-100 PEMFC. The proposed algorithm is compared with conventional method and two other methods in literature. The PEMFC system with the drift-free P&O method has been operated for dynamic temperature/hydrogen pressure variations. The power of PEMFC settles to almost 98 W at 0.11s with the proposed method, while FC power is 90 W at the same time as the conventional P&O method. In addition, in the temperature variation case, the extracted powers from the FC unit between 2.8s and 3.3s are 96.5 W, 95.8 W, 96 W, and 96 W for the proposed algorithm, classical P&O, IC, and the other one, respectively. Furthermore, successively, the powers between 3.3s and 3.7s are 97.3 W, 96.9 W, 97 W and 97.1 W for the methods. In the pressure variation case, the proposed technique has a faster response to drift phenomena at 1.5s time than the existing methods.

Suggested Citation

  • Büyük, Mehmet & İnci, Mustafa, 2023. "Improved drift-free P&O MPPT method to enhance energy harvesting capability for dynamic operating conditions of fuel cells," Energy, Elsevier, vol. 267(C).
    • Handle: RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034302
    DOI: 10.1016/j.energy.2022.126543
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    References listed on IDEAS

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    1. Posso Rivera, Fausto & Zalamea, Javier & Espinoza, Juan L. & Gonzalez, Luis G, 2022. "Sustainable use of spilled turbinable energy in Ecuador: Three different energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    2. Fathy, Ahmed & Yousri, Dalia & Alanazi, Turki & Rezk, Hegazy, 2021. "Minimum hydrogen consumption based control strategy of fuel cell/PV/battery/supercapacitor hybrid system using recent approach based parasitism-predation algorithm," Energy, Elsevier, vol. 225(C).
    3. Li, Dazi & Yu, Yadi & Jin, Qibing & Gao, Zhiqiang, 2014. "Maximum power efficiency operation and generalized predictive control of PEM (proton exchange membrane) fuel cell," Energy, Elsevier, vol. 68(C), pages 210-217.
    4. İnci, Mustafa & Büyük, Mehmet & Demir, Mehmet Hakan & İlbey, Göktürk, 2021. "A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and future aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Rezk, Hegazy & Aly, Mokhtar & Fathy, Ahmed, 2021. "A novel strategy based on recent equilibrium optimizer to enhance the performance of PEM fuel cell system through optimized fuzzy logic MPPT," Energy, Elsevier, vol. 234(C).
    6. Lü, Xueqin & Meng, Ruidong & Deng, Ruiyu & Long, Liyuan & Wu, Yinbo, 2022. "Energy economy optimization and comprehensive performance improvement for PEMFC/LIB hybrid system based on hierarchical optimization," Renewable Energy, Elsevier, vol. 193(C), pages 1132-1149.
    7. Fathabadi, Hassan, 2016. "Novel highly accurate universal maximum power point tracker for maximum power extraction from hybrid fuel cell/photovoltaic/wind power generation systems," Energy, Elsevier, vol. 116(P1), pages 402-416.
    8. Fathy, Ahmed & Ferahtia, Seydali & Rezk, Hegazy & Yousri, Dalia & Abdelkareem, Mohammad Ali & Olabi, A.G., 2022. "Optimal adaptive fuzzy management strategy for fuel cell-based DC microgrid," Energy, Elsevier, vol. 247(C).
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    4. P., Naresh & N., Sai Vinay Kishore & V., Seshadri Sravan Kumar, 2024. "A new configuration for enhanced integration of a battery–ultracapacitor system," Renewable Energy, Elsevier, vol. 229(C).

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