Flying Squirrel Search Optimization (FSSO) for MPPT of PV

版本 1.0.01 (1.7 KB) 作者: PIRC

MATLAB script for Flying Squirrel Search Optimization (FSSO) applied to Maximum Power Point Tracking (MPPT) for a Solar PV System

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更新时间 2023/8/19

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The provided MATLAB script demonstrates the implementation of the Flying Squirrel Search Optimization (FSSO) algorithm for Maximum Power Point Tracking (MPPT) in a Solar PV System. The FSSO algorithm mimics the behavior of flying squirrels to optimize solutions.

The script initializes a group of "squirrels" (representing potential solutions) and iteratively updates their positions based on fitness evaluations and movement rules. The goal is to find the optimal voltage and current values that result in the highest power output from the PV system.

The fitness function calculates the power output based on the voltage and current values. The algorithm dynamically updates the positions of the squirrels towards improved solutions, aiming to converge towards the optimal voltage and current combination that maximizes power output.

The FSSO algorithm offers a unique approach to optimization, simulating the behavior of flying squirrels in search of the best solution. The script's fitness function, movement rules, and parameters can be adapted to match the specific characteristics of the Solar PV System.

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引用格式

PIRC (2024). Flying Squirrel Search Optimization (FSSO) for MPPT of PV (https://www.mathworks.com/matlabcentral/fileexchange/133707-flying-squirrel-search-optimization-fsso-for-mppt-of-pv), MATLAB Central File Exchange. 检索来源 2024/4/28.