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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Veröffentlicht in:Journal of physics. Conference series Jg. 2567; H. 1; S. 12003 - 12008
1. Verfasser: Huang, Ronggeng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bristol IOP Publishing 01.08.2023
Schlagworte:
Algorithms
Irradiance
Maximum power
Particle swarm optimization
Physics
ISSN:1742-6588, 1742-6596
Online-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2567/1/012003