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<p>This article promotes an implementation and architecture of a grid incorporated Photovoltaic (PV) energy system optimized for efficient maximum energy harvesting and grid incorporation. The proposed system incorporates a Dingo Optimized Fuzzy-Maximum Power Point Tracking (DOF-MPPT) controller for establishing optimum energy harvesting from PV within varying ecological situations. A Coupled Inductor Two-Stage Boost (CITSB) converter is utilized to amplify Direct Current (DC) voltage efficiently, while a 1Φ VSI (Voltage Source Inverter) transforms the DC to Alternating Current (AC) supply, suitable to grid injection. A Proportional-Integral (PI) controller governs reactive and actual power to ensure grid compliance with reference power demands. The MATLAB/Simulink simulations demonstrate the system’s ability to extract maximum power, convert it efficaciously, and synchronize it continuously with the grid. The outcomes highlight the strength of developed system in delivering reliable and maximum efficiency (98.2%), high-quality energy to the grid while addressing the challenges of dynamic environmental conditions.</p>

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Development of A High-Performance PV Energy System Using Dingo Optimized-Fuzzy MPPT and CITSB Converter

  • 期刊论文

  • 发表日期：

    2026年2月18日

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  • Narayanan Rishikesh,
  • Jeyaraj Senthil Kumar,
  • N. Janaki

摘要

This article promotes an implementation and architecture of a grid incorporated Photovoltaic (PV) energy system optimized for efficient maximum energy harvesting and grid incorporation. The proposed system incorporates a Dingo Optimized Fuzzy-Maximum Power Point Tracking (DOF-MPPT) controller for establishing optimum energy harvesting from PV within varying ecological situations. A Coupled Inductor Two-Stage Boost (CITSB) converter is utilized to amplify Direct Current (DC) voltage efficiently, while a 1Φ VSI (Voltage Source Inverter) transforms the DC to Alternating Current (AC) supply, suitable to grid injection. A Proportional-Integral (PI) controller governs reactive and actual power to ensure grid compliance with reference power demands. The MATLAB/Simulink simulations demonstrate the system’s ability to extract maximum power, convert it efficaciously, and synchronize it continuously with the grid. The outcomes highlight the strength of developed system in delivering reliable and maximum efficiency (98.2%), high-quality energy to the grid while addressing the challenges of dynamic environmental conditions.