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

This article promotes an implementation and architecture of a grid incorporated Photovoltaic (PV) energy system opti
mized for efficient maximum energy harvesting and grid incorporation. The proposed system incorporates a Dingo Opti
mized 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 Cur
rent (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.
Keywords PV system · DOF-MPPT controller · Coupled inductor Two-Stage boost (CITSB) converter · VSI · LC filter
and PI controller