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

Chemistry

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