Simulink Simulation of Grid-Connected Photovoltaic Inverter Based on Master's Thesis Implementation

Resource Overview

Implementation of a grid-connected PV inverter simulation in Simulink, modeled after a Master's thesis from Hunan University, featuring detailed power electronics control algorithms and system integration

Detailed Documentation

In my previous research, I conducted an in-depth investigation into the simulation of grid-connected photovoltaic inverters. This work formed the core of my Master's thesis completed at Hunan University, where I focused specifically on implementing PV grid-connected inverter simulations using MATLAB/Simulink. The study involved comprehensive analysis of Simulink utilization techniques and detailed performance evaluation of photovoltaic grid-tie inverters. The simulation framework incorporated key power electronics components including Maximum Power Point Tracking (MPPT) algorithms using Perturb and Observe methods, PWM generation for inverter control, and phase-locked loop (PLL) synchronization with the utility grid. The system model implemented Clarke and Park transformations for dq-axis current control, ensuring stable grid connection and power quality compliance. This research aimed to deepen the understanding of operational principles for grid-connected PV inverters and explore optimization strategies for enhancing their performance. Through systematic simulation and analysis, I derived significant conclusions regarding inverter efficiency, harmonic distortion mitigation, and grid synchronization stability. The study proposed several design improvements including enhanced MPPT algorithms for varying irradiance conditions and advanced filtering techniques for harmonic reduction. The implementation involved creating modular Simulink blocks for DC-DC conversion, inverter bridge control, and grid interface protection circuits. Key functions included real-time power calculation, anti-islanding protection logic, and voltage/current regulation loops. This research contributes significantly to advancing photovoltaic power generation technology by providing validated simulation models and performance optimization methodologies.