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Logistic quantum-behaved particle swarm optimization based MPPT for PV systems
Qin Y.2; Pun C.-M.3; Hu H.1; Gao H.2
2017-05-11
Conference Name2017 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2017)
Source Publication7th International Conference on Information Science and Technology, ICIST 2017 - Proceedings
Pages154-160
Conference DateApr 16, 2017 - Apr 19, 2017
Conference PlaceDa Nang, Vietnam
CountryVietnam
Abstract

Partial shading of photovoltaic cells would happen frequently during power generation process. With the result that output power-voltage (PV) characteristic curve of PV arrays could result in multiple power peaks, the traditional technology of maximum power point tracking (MPPT) control algorithms will be failure. Based on this situation, this article mainly proposed a MPPT(maximum power point tracking) algorithm based on a Logistic Quantum-behaved Particle Swarm Optimization (LQPSO) and Incremental Conductance method to get the maximum power and fast convergence of PV arrays, by adjusting the duty cycled of power switching to control the value of the output power. The MATLAB/Simulink is adopted to evaluate the effectiveness of the proposed algorithm, and the simulation results prove our algorithm has the ability to track the maximum power point in an extreme environmental condition.

KeywordDuty Cycle Mppt Partial Shading Photovoltaic Qpso
DOI10.1109/ICIST.2017.7926749
URLView the original
Language中文
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000403402600027
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Beijing Institute of Control Engineering
2.Nanjing University of Post and TeleCommunications
3.Universidade de Macau
Recommended Citation
GB/T 7714
Qin Y.,Pun C.-M.,Hu H.,et al. Logistic quantum-behaved particle swarm optimization based MPPT for PV systems[C],2017:154-160.
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