Maximum Power Point Tracking of Photovoltaic Module for Battery Charging Based on Modified Particle Swarm Optimization

2017 ◽  
Vol 10 (1) ◽  
pp. 77 ◽  
Author(s):  
Endro Wahjono ◽  
Dimas Okky Anggriawan ◽  
Epyk Sunarno ◽  
Syechu Dwitya Nugraha ◽  
Anang Tjahjono
Keyword(s):  
Particle Swarm Optimization ◽  
Maximum Power Point Tracking ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Swarm Optimization ◽  
Battery Charging ◽  
Modified Particle Swarm Optimization ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

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

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Long-Yi Chang ◽  
Hsueh-Chien Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Maximum Power Point Tracking ◽  
Particle Swarm ◽  
Maximum Power ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Swarm Optimization ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

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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