Open AccessMaximum Power Point Tracking Method Based on Modified Particle Swarm Optimization for Photovoltaic Systems
Author(s) -
KueiHsiang Chao,
Long-Yi Chang,
Hsueh-Chien Liu
Publication year - 2013
Publication title -
international journal of photoenergy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.426
H-Index - 51
eISSN - 1687-529X
pISSN - 1110-662X
DOI - 10.1155/2013/583163
Subject(s) - particle swarm optimization , maximum power point tracking , photovoltaic system , weighting , tracking (education) , maximum power principle , control theory (sociology) , point (geometry) , computer science , power (physics) , track (disk drive) , mathematical optimization , algorithm , mathematics , artificial intelligence , engineering , physics , psychology , pedagogy , geometry , control (management) , quantum mechanics , inverter , acoustics , electrical engineering , operating system
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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