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# Step By Step Implementation of P&O MPPT In MATLAB

P&O MPPT | Step By Step Implementation of P&O MPPT In MATLAB

Perturb and Observe MPPT Typically, the P&O method is used for tracking the MPPT. In this technique, a minor perturbation is introduced to, cause the power variation of the PV module. The PV output power is periodically measured and compared with the previous power. If the output power increases, the same process is continued otherwise perturbation is reversed. In this algorithm, perturbation is provided to the PV module or the array voltage. The PV module voltage is increased or decreased to check whether the power is increased or decreased. When an increase in voltage leads to an increase in power, this means the operating point of the PV module is on the left of the MPP. Hence further perturbation is required towards the right to reach MPP. Conversely, if an increase in voltage leads to a decrease in power, this means the operating point of the PV module is on the right of the MPP and hence further perturbation towards the left is required to reach MPPT.

## Step By Step Implementation of P&O MPPT In MATLAB

Solar energy has become one of the primary sources of renewable energy, with photovoltaic (PV) systems being the most common technology. PV systems require an efficient maximum power point tracking (MPPT) algorithm to ensure maximum energy extraction from the PV panel. Perturb and observe (P&O) MPPT algorithm is widely used due to its simplicity and effectiveness. This article will guide you through a step-by-step implementation of P&O MPPT in MATLAB.

## Introduction

The main objective of a PV system is to extract the maximum power from the PV panel. This is achieved by using an MPPT algorithm that continuously tracks the maximum power point (MPP) of the PV panel. The P&O algorithm is one of the simplest and most commonly used MPPT algorithms due to its ease of implementation.

This article will provide a step-by-step guide on how to implement the P&O MPPT algorithm in MATLAB. MATLAB is a powerful tool for simulating and analyzing control systems, and it provides a convenient platform for testing different MPPT algorithms.

## Maximum Power Point Tracking (MPPT)

MPPT is a control algorithm that continuously adjusts the PV panel's operating voltage and current to ensure maximum power output. The operating point of the PV panel changes with varying weather conditions, including temperature, irradiance, and shading. The MPPT algorithm tracks the MPP of the PV panel by continuously adjusting the operating point to maintain the maximum power output.

## Perturb and Observe (P&O) Algorithm

The P&O algorithm is one of the simplest MPPT algorithms and involves perturbing the operating voltage and observing the power output. The algorithm increases the voltage slightly and observes the resulting power output. If the power output increases, the voltage is increased further, and the process is repeated until the power output starts decreasing. At this point, the voltage is reduced, and the process is repeated in the opposite direction. The voltage is perturbed until the MPP is reached.

The P&O algorithm has several advantages, including simplicity, low computational complexity, and robustness. However, it has some drawbacks, including oscillations around the MPP, slow tracking, and sensitivity to parameter variations.

## Implementation of P&O MPPT in MATLAB

The implementation of the P&O MPPT algorithm in MATLAB involves the following steps:

### Initialization of Variables

The first step is to initialize the variables used in the simulation. These include the PV panel parameters, simulation parameters, and control parameters.

### Simulation Parameters

The simulation parameters include the simulation time, time step, and the initial values of the PV panel voltage and current.