Intelligent Optimization for MPPT Control and Energy Management in Smart Photovoltaic System
摘要
The increasing integration of renewable energy sources, particularly solar photovoltaic (PV) systems, is transforming modern power generation and grid operations. Despite their advantages of low maintenance and compact design, PV systems inherently produce low output voltages, which can hinder efficiency and grid compatibility. This paper proposes a high-gain boost converter, integrated with a hybrid Slime Mould Algorithm (HSMA) for Maximum Power Point Tracking (MPPT), to enhance voltage levels and optimize energy extraction from PV systems. The proposed design incorporates a voltage multiplier cell (VMC) for improved voltage gain and employs a passive clamp circuit to minimize leakage inductance losses. The system is modeled and simulated in MATLAB/Simulink, and performance is evaluated in terms of output voltage stability, transient response, and power quality. Results demonstrate efficient MPPT tracking, rapid dynamic response, and compliance with IEEE Total Harmonic Distortion (THD) standards, confirming its suitability for reliable grid-connected PV applications.