Grid-Connected PV System with Hybrid Fuzzy–Neural MPPT under Partial Shading (MATLAB/Simulink Model)
 
This advanced MATLAB/Simulink model showcases a complete two-stage grid-connected photovoltaic (PV) energy system operating under partial shading conditions, integrated with a hybrid Fuzzy Logic + Neural Network MPPT controller. The system is designed for high-end academic research, PhD work, and industrial-level renewable energy analysis.
 
🌞 PV Array Configuration & Partial Shading Setup
 
Two PV groups, each containing 3S × 1P panels, interconnected in series.
Each PV panel: 349.59 W, 43 V, 8.13 A, generating approx. 1.048 kW under STC.
Group 1 operates at uniform 1000 W/m².
Group 2 experiences dynamic partial shading:
1000 → 800 → 600 → 400 W/m² (every 0.1 s).
Bypass diodes included for realistic shading protection.
 
⚡ High-Gain DC–DC Converter (Stage 1)
 
The first stage uses an Active Switch LC (AS-LC) High Gain Converter, enabling:
High voltage boosting capability
Stable operation under rapidly changing irradiance
Compatibility with hybrid MPPT signals
 
 
🧠 Hybrid MPPT Controller (Fuzzy + Neural Network)
 
The system employs a novel hybrid variable step-size P&O MPPT, combining:
 
1️⃣ Fuzzy Logic MPPT
 
Inputs:
∆D (perturbation)
Slope (ΔP/ΔV)
Output:
Adaptive Duty Cycle (ΔD)
 
2️⃣ Neural Network MPPT
 
Inputs:
PV Voltage (Vpv)
PV Current (Ipv)
Output:
Adaptive ΔD
 
Hybrid Logic
 
Average duty cycle = (Duty_Fuzzy + Duty_NN) / 2
 
This ensures:
Faster tracking
Better accuracy under partial shading
Reduced oscillations at steady state
 
🔌 Three-Phase Inverter & Grid Integration (Stage 2)
 
A three-phase voltage-source inverter (VSI) integrates the system with the utilities through an LCL filter.
 
Advanced Control Strategy
 
Feedforward decoupling control (D-Q axes)
D-axis: DC-link voltage regulation
Q-axis: Reactive power control (set to zero for unity PF)
Phase-Locked Loop (PLL) for grid synchronization
Sinusoidal PWM for switching pulse generation
 
DC-Link Voltage Regulation
 
Vdc reference: 700 V
Maintained under all shading conditions
 
📊 Key Output Observations
 
PV power decreases smoothly as shading increases
(e.g., 2000 W → 1750 W → lower values)
Grid current reduces according to available PV power
DC-link remains stable at 700 V, proving controller robustness
Hybrid MPPT ensures:
Fast tracking
Efficient maximum power extraction
Stability during rapid shading transitions
 
🎯 Ideal For
 
Researchers
PV-Wind-Grid Renewable Energy Modelling
MPPT Algorithm Comparison Studies
Inverter Control & Grid Synchronization Research
Hybrid Microgrid and Smart Grid Projects