<p>The adoption of clean energy sources, predominantly Photovoltaic (PV) systems, has become pivotal in addressing global energy challenges. To maximize the efficiency and reliability of PV modules, this study develops a novel integration of advanced technologies. An Improved High-Gain Z-Source-Boost (IHGZSB) converter is introduced, enhancing the performance of PV power conversion and control. The system’s ability to extract utmost possible power from solar module is optimized through the application of a Modified Teaching-Learning-based Optimization (M-TLBO)-MPPT approach. The proposed system dynamically adjusts to partial shading conditions by utilizing the optimization algorithm to optimize power extraction, even when parts of the PV array are shaded. This ensures that the system continues to operate efficiently and generate power under various environmental conditions. Furthermore, energy management and grid integration are improved by incorporating a bidirectional Battery Energy Storage System (BESS) coupled with a bidirectional converter. The BESS acts as an energy buffer, storing excess PV-generated energy during periods of surplus and supplying energy back to the DC link during deficit conditions. This ensures a reliable and consistent power supply to the grid. For grid integration, Voltage Source Inverter (VSI) is employed with Proportional-Integral (PI) controller. This VSI interfaces the DC link voltage with the three-phase grid, maintaining grid power quality and stability. The developed system’s effectiveness is evaluated through comprehensive simulations and experimental validations, demonstrating enhanced energy harvesting, improved efficiency (97.2%), reduced ripple ratio (3.2%) and grid reliability. The tracking efficiency and tracking time observed are given by 99.1% and 3.1s respectively.</p>

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Optimized MPPT-Integrated PV System with Battery Storage and High-Gain Z-Source Boost Converter

  • S. Gomathi Kalyani,
  • M. Gnana Sundari

摘要

The adoption of clean energy sources, predominantly Photovoltaic (PV) systems, has become pivotal in addressing global energy challenges. To maximize the efficiency and reliability of PV modules, this study develops a novel integration of advanced technologies. An Improved High-Gain Z-Source-Boost (IHGZSB) converter is introduced, enhancing the performance of PV power conversion and control. The system’s ability to extract utmost possible power from solar module is optimized through the application of a Modified Teaching-Learning-based Optimization (M-TLBO)-MPPT approach. The proposed system dynamically adjusts to partial shading conditions by utilizing the optimization algorithm to optimize power extraction, even when parts of the PV array are shaded. This ensures that the system continues to operate efficiently and generate power under various environmental conditions. Furthermore, energy management and grid integration are improved by incorporating a bidirectional Battery Energy Storage System (BESS) coupled with a bidirectional converter. The BESS acts as an energy buffer, storing excess PV-generated energy during periods of surplus and supplying energy back to the DC link during deficit conditions. This ensures a reliable and consistent power supply to the grid. For grid integration, Voltage Source Inverter (VSI) is employed with Proportional-Integral (PI) controller. This VSI interfaces the DC link voltage with the three-phase grid, maintaining grid power quality and stability. The developed system’s effectiveness is evaluated through comprehensive simulations and experimental validations, demonstrating enhanced energy harvesting, improved efficiency (97.2%), reduced ripple ratio (3.2%) and grid reliability. The tracking efficiency and tracking time observed are given by 99.1% and 3.1s respectively.