Moth Flame Optimization Based PV MPPT Algorithm

Version 1.0.1 (195 KB) by PIRC
Moth Flame Optimization Based PV MPPT Algorithm
Updated 30 Nov 2023

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Moth Flame Optimization Based PV MPPT Algorithm
Moth Flame Optimization (MFO):
- Moth Flame Optimization is a nature-inspired optimization algorithm, based on the behavior of moths attracted to flames. It belongs to the category of metaheuristic algorithms, which are optimization algorithms inspired by natural phenomena.
- In MFO, the optimization process is modeled after the mating and navigation behavior of moths. The algorithm uses the concepts of attraction to flames and the inhibition of random flight to guide the search for optimal solutions in a search space.
PV MPPT Algorithm:
- Photovoltaic (PV) Maximum Power Point Tracking (MPPT) algorithms are used in solar power systems to maximize the power output from solar panels. The maximum power point (MPP) is the operating point where the solar panel delivers the maximum electrical power.
- Various algorithms, such as Perturb and Observe (P&O), Incremental Conductance (INC), and others, are used for MPPT in PV systems. The goal is to dynamically adjust the operating point of the solar panel to ensure that it operates close to its MPP under varying environmental conditions.

Cite As

PIRC (2024). Moth Flame Optimization Based PV MPPT Algorithm (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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