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Step-by-Step Implementation of a 3 MW Grid-Connected Solar PV System using MATLAB

🔹 Introduction

The growing global demand for renewable energy has made solar photovoltaic (PV) systems a cornerstone of sustainable power generation. Among them, grid-connected PV plants play a crucial role in supplying clean electricity while reducing dependency on fossil fuels 🌍.


This blog presents the design and simulation of a 3 MW grid-connected PV system in MATLAB/Simulink, featuring:

✅ A boost converter with Perturb & Observe (P&O) MPPT for maximum power extraction.

✅ A three-phase inverter with PI-based control synchronized to the utility grid.

✅ Performance evaluation under different irradiance conditions.


3 MW Grid-Connected Solar PV System
3MW Grid Connected PV System
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🏗️ System Architecture

The system is built in three main stages:

☀️ PV Array Configuration

  • Each module: 213.15 W, 29 V.

  • 11 modules in series → ~319 V at MPP.

  • 1300 parallel strings → ~9500 A.

  • Total power output ≈ 3.04 MW.

🌡️ Inputs: Irradiance = 1000 W/m², Temperature = 25 °C.


🔋 Boost Converter with MPPT

  • Components: Inductor (L), IGBT + diode, Capacitor (C), passive RLC filter.

  • Controlled via P&O MPPT algorithm implemented in MATLAB.

  • PWM switching frequency: 10 kHz.

  • Ensures stable DC output at MPP.


🔄 Inverter & Grid Synchronization

  • DC-link voltage regulated at 600 V.

  • Three-phase inverter with IGBT-based universal bridge.

  • PLL (Phase Locked Loop) for grid synchronization ⚡.

  • dq0 PI controllers manage active & reactive power.

  • Output connected to a 400 V, 50 Hz grid with inductive filter.

📊 System Specifications

Component

Value

Notes

PV Array Power

3.04 MW

11 × 1300 modules

Converter Freq

10 kHz

PWM switching

DC-Link Voltage

600 V

Regulated by PI

Inverter Rating

3 MW

Grid-connected

Grid Voltage

400 V, 50 Hz

3-phase system

🖥️ Simulation Setup

The system was modeled in Simscape Power Systems. Key features:

  • MPPT control with P&O algorithm.

  • PI controllers for voltage/current regulation.

  • Measurement blocks for PV, converter, and grid parameters.

  • Simulation duration: 10 seconds.


🧪 Case Studies


🌞 Case 1: Nominal Irradiance (1000 W/m²)

  • PV power ≈ 3 MW.

  • DC-link voltage stable at 600 V.

  • Grid receives rated active power.


🌥️ Case 2: Reduced Irradiance (500 W/m²)

  • PV power ≈ 1.5 MW.

  • Grid power reduces proportionally.

  • MPPT ensures maximum extraction even at low sunlight.


⚙️ Methodology


📐 P&O MPPT Algorithm

1️⃣ Measure PV voltage & current.2️⃣ Compute power (P = V × I).3️⃣ Compare with previous power.4️⃣ Adjust duty cycle accordingly.5️⃣ If power increases → continue, else reverse direction.


🔄 Inverter dq Control

  • Id (active power) & Iq (reactive power) regulated by PI controllers.

  • PLL synchronization ensures proper grid integration.

  • Control voltages → back to abc frame → PWM signals.


📈 Results & Analysis

At 1000 W/m²:

  • ✅ PV & grid power ~3 MW.

  • ✅ DC-link regulated at 600 V.

  • ✅ Grid current sinusoidal with low THD.

    At 500 W/m²:

  • ✅ PV & grid power ~1.5 MW.

  • ✅ Stable performance confirmed.


📊 Performance Table:

Condition

PV Power

Grid Power

DC-Link Voltage

Remarks

1000 W/m²

~3 MW

~3 MW

600 V

Rated operation

500 W/m²

~1.5 MW

~1.5 MW

600 V

Reduced generation

💡 Discussion

✅ Strengths:

  • Large-scale PV array with realistic configuration.

  • Effective MPPT with stable DC-link.

  • Smooth inverter-grid synchronization.

⚠️ Limitations:

  • P&O MPPT may oscillate under fast irradiance changes.

  • PI controllers require retuning for varying conditions.

  • Harmonic & loss analysis not included.


🏁 Conclusion & Future Scope

This work successfully simulated a 3 MW grid-connected solar PV system in MATLAB/Simulink.

✨ Key outcomes:

  • Stable 600 V DC-link maintained.

  • 3 MW output achieved at nominal irradiance.

  • Effective P&O MPPT under variable sunlight.

🚀 Future enhancements:

  • Use Fuzzy, ANN, or optimization-based MPPT.

  • Include power quality analysis (THD, harmonics).

  • Hardware validation with scaled prototypes.

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