Step By Step Implementation of P&O MPPT In MATLAB
In this experiment, we will simulate the Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) algorithm for a Photovoltaic (PV) system. The Simulink model consists of various blocks, including a PV array, diode, MOSFET, capacitor, resistor, and the MPPT algorithm.
PV Array: Represents the solar panels in the system. The model allows you to set the number of panels and their ratings.
Converter: Utilizes a step-down converter to match the PV array's voltage to the load's requirements. The inductance (L), capacitance (C), and resistance (R) values are calculated based on the PV panel specifications and load requirements.
MPPT Algorithm (P&O): The core of the system, this algorithm continuously adjusts the duty cycle of the converter to maximize power extraction from the PV array.
Simulation Parameters: Key parameters such as irradiation and temperature are set to observe the system's response to changing conditions.
Designing the Converter
To implement the simulation, you'll need to design the converter components (L, C, R) based on the PV panel specifications and load requirements. The Simulink model provides a visual representation of the entire system, allowing for a better understanding of the interactions between components.
Simulation and Analysis
The simulation involves running the model for a specified duration while observing the output parameters, including power, voltage, and current. The MPPT algorithm ensures that the system operates at the maximum power point, adjusting to changes in environmental conditions.
Optimization and Results
Fine-tuning the system parameters, such as capacitance, helps mitigate power oscillations and ensures stable operation. By carefully setting the MPPT algorithm parameters, you can achieve efficient power extraction from the PV array under varying conditions.
The simulation results demonstrate the effectiveness of the P&O MPPT algorithm in tracking the maximum power point for a PV system. The Simulink model provides a powerful tool for understanding and optimizing the performance of solar energy systems.