scholarly journals Maximum Power Point Tracking Of Photovoltaic Module Using Golden Section Search Method

2017 ◽  
Vol 9 (3S) ◽  
pp. 146-155
Author(s):  
Sree Vidhya V ◽  
Rajasekhar B ◽  
Prasanna N.V ◽  
Poojitha K
2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Long-Yi Chang ◽  
Hsueh-Chien Liu

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.


2014 ◽  
Vol 953-954 ◽  
pp. 52-56
Author(s):  
Wei Du ◽  
Wei Han ◽  
You Fei Tan

In order to increase the output power of the photovoltaic system, the maximum power point tracking is needed. As the starting point of research in the output nonlinear characteristics, analysis of the advantages and disadvantages of the conventional algorithm and have the poor dynamic and steady-state performance of the maximum power point tracking(MPPT), the improvement method of golden section(IGSS) is applied to the photovoltaic power generation system. The results indicate that the method can quickly track the maximum power point of photovoltaic cells.


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