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<p>This research consequently suggests a hybrid PV-TEG system based on HCOSS-MPPT to improve power efficiency. The PV array, Buck-Boost converter with an integrated HCOSS-based MPPT controller, TEG with battery, 3 phases VSI inverters, and grid comprise the suggested hybrid architecture. In the proposed methodology, the HCOSS – MPPT (harmonic coyote optimal step size-based maximum-power-point-tracking) technique adjusts the dc-to-dc buck-boost converters’ duty cycles to optimize the energy outcome of the grids-connected photovoltaic systems. The harmonic mean-based coyote optimizations algorithm (HCOA) is used for the maximum power points (MPP) problem by obtaining maximal step-size instead of fixed step size. The simulation outcomes are presented to evaluate the efficacy of the design. The result indicated that the proposed hPV-TEG in EV has obtained a maximum power of nearly 10 × 10<sup>4</sup> Watt. The proposed model under standard test conditions has nearly achieved above 8 × 10<sup>4</sup> Watt power. Moreover, the proposed hPV-TEG with battery showed good performance when compared to the hPV-TEG model without battery and the PV model with battery. Thus, this analysis proves that the proposed hPV-TEG system with HCOSS – MPPT shows better performance and optimal results.</p>

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Performance Improvement of a Combined Hybrid Energy System Using Photovoltaic and Thermoelectric Generators Based on the hCOSS-MPPT Algorithm

  • 期刊论文

  • 发表日期：

    2025年12月5日

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  • R. Parthiban,
  • P. Ponnambalam

摘要

This research consequently suggests a hybrid PV-TEG system based on HCOSS-MPPT to improve power efficiency. The PV array, Buck-Boost converter with an integrated HCOSS-based MPPT controller, TEG with battery, 3 phases VSI inverters, and grid comprise the suggested hybrid architecture. In the proposed methodology, the HCOSS – MPPT (harmonic coyote optimal step size-based maximum-power-point-tracking) technique adjusts the dc-to-dc buck-boost converters’ duty cycles to optimize the energy outcome of the grids-connected photovoltaic systems. The harmonic mean-based coyote optimizations algorithm (HCOA) is used for the maximum power points (MPP) problem by obtaining maximal step-size instead of fixed step size. The simulation outcomes are presented to evaluate the efficacy of the design. The result indicated that the proposed hPV-TEG in EV has obtained a maximum power of nearly 10 × 104 Watt. The proposed model under standard test conditions has nearly achieved above 8 × 104 Watt power. Moreover, the proposed hPV-TEG with battery showed good performance when compared to the hPV-TEG model without battery and the PV model with battery. Thus, this analysis proves that the proposed hPV-TEG system with HCOSS – MPPT shows better performance and optimal results.