Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems
Joint Authors
Chang, Long-Yi
Chao, Kuei-Hsiang
Liu, Hsueh-Chien
Source
International Journal of Photoenergy
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-06
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
This study investigated the output characteristics of photovoltaic module arrays with partial module shading.
Accordingly, we presented a maximum power point tracking (MPPT) method that can effectively track the global optimum of multipeak curves.
This method was based on particle swarm optimization (PSO).
The concept of linear decreases in weighting was added to improve the tracking performance of the maximum power point tracker.
Simulation results were used to verify that this method could successfully track maximum power points in the output characteristic curves of photovoltaic modules with multipeak values.
The results also established that the performance of the modified PSO-based MPPT method was superior to that of conventional PSO methods.
American Psychological Association (APA)
Chao, Kuei-Hsiang& Chang, Long-Yi& Liu, Hsueh-Chien. 2013. Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems. International Journal of Photoenergy،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-482656
Modern Language Association (MLA)
Chao, Kuei-Hsiang…[et al.]. Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems. International Journal of Photoenergy No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-482656
American Medical Association (AMA)
Chao, Kuei-Hsiang& Chang, Long-Yi& Liu, Hsueh-Chien. Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems. International Journal of Photoenergy. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-482656
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482656