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# Grid Connected PV System With SEPIC Converter in MATLAB

Grid Connected PV System With SEPIC Converter in MATLAB

Introduction

We'll explore a grid-connected photovoltaic (PV) system with a SEPIC converter and Incremental Conductance Perturb and Observe (DPT) algorithm. The system is designed to generate approximately 100 kilowatts of power using PV panels arranged in series and parallel configurations.

PV Panel Characteristics

1. Specifications: The PV panels consist of 10 series-connected modules and 7 parallel strings. Each panel has a maximum power of 213.15 Watts, open circuit voltage of 36.3 volts, and short circuit current of 7.84 amps.

2. Performance Under Different Irradiation Levels: The PV panels' power output varies with irradiation levels. For irradiation levels of 1000, 500, and 100 watts per square meter, the maximum power generated by the panels is 100.2 kW, 50.75 kW, and 9.72 kW, respectively.

### SEPIC Converter Design

1. Converter Specifications: The SEPIC converter is designed to handle a power rating of 100.2 kW, with an input voltage of 290 volts and an output voltage of 600 volts.

2. Control Algorithm: The Incremental Conductance DPT algorithm is employed to maximize power extraction from the PV panels. It adjusts the duty cycle of the converter based on changes in voltage and current to maintain operation at the maximum power point.

### Inverter and Grid Connection

1. Inverter: The converter's output is connected to a voltage source inverter, which converts DC power to AC power suitable for grid connection.

2. Grid Connection: The AC power generated by the inverter is fed into the grid, which operates at 400 volts and 50 Hz frequency.

### Control and Simulation

1. PV Panel Control: The DPT algorithm regulates the converter's duty cycle to optimize power extraction from the PV panels under varying irradiation conditions.

2. Inverter Control: A voltage control loop ensures the inverter output voltage remains at the desired level for grid connection.

3. Simulation: The system's performance is simulated under changing irradiation levels to analyze power generation and grid interaction.

### Simulation Results

1. Power Generation: The PV system generates varying power outputs corresponding to different irradiation levels, optimizing power extraction using the DPT algorithm.

2. Grid Connection: The inverter efficiently transfers power to the grid while maintaining stability and synchronization.

3. Controller Performance: The DPT algorithm and inverter control loops effectively manage power flow, ensuring reliable grid connection and maximum power generation.

### Conclusion

Grid-connected PV systems play a vital role in renewable energy integration. Through MATLAB modeling and simulation, we've demonstrated the design and analysis of such systems, highlighting their performance under changing irradiation conditions. By optimizing control algorithms and system configurations, reliable grid connection and efficient power generation can be achieved.

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