Maximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems

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...

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Bibliographic Details
Published inInternational Journal of Photoenergy Vol. 2013; no. 2013; pp. 1 - 6
Main Authors Chao, Kuei-Hsiang, Chang, Long-Yi, Liu, Hsueh-Chien
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Puplishing Corporation 01.01.2013
Hindawi Publishing Corporation
John Wiley & Sons, Inc
Wiley
Subjects
Algorithms
Arrays
Atoms & subatomic particles
Conflicts of interest
Methods
Optimization
Properties
Solar batteries
Solar cells
Success
Taiwan
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Summary: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.
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ISSN:1110-662X
1687-529X
DOI:10.1155/2013/583163