Application of a Modified Quantum-behaved Particle Swarm Optimization Algorithm for MPPT

Aiming at the characteristics of multiple power peaks of the photovoltaic array under non-homogeneous irradiance conditions, a modified quantum-behaved particle swarm optimization algorithm (MQPSOA) for maximum power point (MPP) tracking is provided. The MQPSOA directly controls the duty ratio and d...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 2567; no. 1; pp. 12003 - 12008
Main Author: Huang, Ronggeng
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.08.2023
Subjects:
Algorithms
Irradiance
Maximum power
Particle swarm optimization
Physics
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary:Aiming at the characteristics of multiple power peaks of the photovoltaic array under non-homogeneous irradiance conditions, a modified quantum-behaved particle swarm optimization algorithm (MQPSOA) for maximum power point (MPP) tracking is provided. The MQPSOA directly controls the duty ratio and dynamically adjusts parameters during its operation. The final results of the photovoltaic system experiment illustrate that the MQPSOA exhibits good performance in the global search of the MPP. It has a fast search rate and small power fluctuation in comparison with particle swarm optimization.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2567/1/012003