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# Drone Squadron Optimization MPPT | MPPT for PV system

Drone Squadron Optimization MPPT | MPPT for PV system

Greetings, viewers! In today's discussion, we delve into the exciting realm of a groundbreaking Maximum Power Point Tracking (MPPT) algorithm known as Drone Squadron Optimization. This innovative approach is inspired by the coordination observed in drone squadrons during strategic missions. The algorithm proves particularly effective in harnessing the maximum power from photovoltaic (PV) systems operating under partial shading conditions.

## Simulation Model Overview

The simulation model encapsulates the essence of the Drone Squadron Optimization MPPT algorithm. It focuses on a PV system comprising three solar panels connected in series, each with a power output of 83.28 watts. The panels operate at different irradiation levels, simulating real-world scenarios. The objective is to extract the maximum power from the PV system under varying conditions.

## Algorithm Execution

The MPPT algorithm involves a strategic process. Initially, different duty cycles are applied to collect voltage and current data. The algorithm then identifies the maximum power point, taking into account local and global peaks. The Drone Squadron Optimization algorithm kicks in to pinpoint the optimal duty cycle for extracting the global peak power efficiently.

## Simulation Results

The simulation results showcase the prowess of the Drone Squadron Optimization MPPT algorithm. It successfully navigates through different irradiation levels, adapting to partial shading conditions. The algorithm precisely targets the global peak power, ensuring optimal performance of the PV system.

### Scenario 1: Irradiation = 1000

Under this condition, the algorithm adeptly identifies the global peak power of 1.45 watts, steering clear of local peaks. The PV power reaches its maximum, demonstrating the efficacy of the algorithm in dynamic scenarios.

### Scenario 2: Irradiation = 600

With reduced irradiation, the algorithm remains robust, extracting the global peak power of 1.58 watts. The adaptive nature of Drone Squadron Optimization shines through, showcasing its ability to thrive in diverse operating conditions.

## Conclusion

The Drone Squadron Optimization MPPT algorithm emerges as a game-changer in the realm of PV systems. Its adaptability to varying irradiation levels, coupled with the precision to navigate partial shading, positions it as a potent tool for enhancing energy harvesting efficiency.

This simulation model not only illustrates the algorithm's functionality but also emphasizes its potential for real-world applications. As we witness the successful extraction of maximum power under different conditions, the promise of Drone Squadron Optimization in advancing MPPT algorithms becomes evident.

Intrigued to explore more? Refer to the paper titled "Drone Squadron Optimization for Maximum Power Point Tracking in Photovoltaic Systems under Partial Shading Conditions" published in Neural Computing and Applications for an in-depth understanding of this transformative algorithm.

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