Design and Evaluation of Fuzzy Adaptive Particle Swarm Optimization Based Maximum Power Point Tracking on Photovoltaic System Under Partial Shading Conditions

Design and Evaluation of Fuzzy Adaptive Particle Swarm Optimization Based Maximum Power Point Tracking on Photovoltaic System Under Partial Shading Conditions

Artificial intelligence methods such as fuzzy logic and particle swarm optimization (PSO) have been applied to maximum power point tracking (MPPT) for solar panels. The P-V curve of a solar panel exhibits multiple peaks under partial shading condition (PSC) when all modules of a solar panel do not r...

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Bibliographic Details
Main Authors: Liping Guo, Nauman Moiz Mohammed Abdul
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Energy Research
Subjects:
partial shading
PV array
maximum power point tracking
fuzzy logic controller
particle swarm optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.712175/full

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