Photovoltaic Cell Model Simulation in Simulink

Resource Overview

This study develops a MATLAB/Simulink simulation model to analyze the distribution of local maximum power points in photovoltaic cells under partial shading conditions. The implementation involves creating an equivalent mathematical model of photovoltaic cells using Simulink blocks and custom MATLAB functions. The research investigates the hot-spot effects caused by shading, theoretically and experimentally validating how bypass diodes cause multiple knees in V-I characteristics and multiple peaks in V-P curves. Key algorithms include maximum power point tracking (MPPT) analysis and partial shading pattern recognition. The study focuses on predicting local maximum power point distributions under shaded conditions through derived equations, with simulation validation using PV array configurations and shading scenarios.

Detailed Documentation

In this research, we developed a MATLAB/Simulink simulation model to analyze the impact of partial shading on local maximum power points in photovoltaic cells. The implementation utilizes Simulink's electrical component libraries combined with custom MATLAB functions to create an equivalent mathematical model of photovoltaic cells, which was validated through extensive simulation runs. We conducted in-depth analysis of hot-spot effects caused by shading, incorporating theoretical models and simulation studies to demonstrate how bypass diodes lead to multiple knees in V-I characteristics and multiple peaks in V-P curves. The simulation employs iterative algorithms for characteristic curve generation and peak detection functions.

Furthermore, we focused on investigating the distribution patterns of local maximum power points in photovoltaic arrays under shading conditions. We developed predictive equations using curve-fitting techniques and polynomial regression algorithms, which were implemented through MATLAB's optimization toolbox. The validation process involved comparative analysis between simulated data and predicted values across various shading scenarios using different PV array configurations.

This research not only enhances understanding of shading effects on photovoltaic performance but also provides innovative approaches to address multiple knee and peak phenomena in PV characteristics. The methodologies developed, including the simulation framework and predictive algorithms, contribute significantly to improving the efficiency and reliability of photovoltaic power generation systems.