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01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Volume 13 > No. S1

 
   

Design of Enhanced Perturb and Observe Algorithm for Maximum Power Extraction From Renewable Resources

PP: 391-398
doi:10.18576/amis/13S142
Author(s)
Janarthanan S. K., C. Kathirvel,
Abstract
This paper manages another form of annoy and watches the following strategy for larger power expansion from the solar photovoltaic board, that has self-prescient and basic leadership capacity. The working rules of Enhanced perturb and observe (EP&O) algorithm depends on three sequential working points on the power-voltage parameters. Out of three points, initial two points sagaciously distinguishes the changing status, and additionally in typical condition, rapidly looks through the maximum power point (MPP) field. In addition, by utilizing a round similarity, all points choose the ideal working position for the following cycle, which is in charge of speedy MPP following and additionally enhanced unique execution. Here, in each new emphasis, the step-size is diminished by 90% from the past step-size, which gives a swaying free steady-state execution. The adequacy of the presented strategy is approved by MATLAB simulation tool and additionally tried on a hardware prototype. Additionally, the correlation between SPP&O algorithm and the state of workmanship techniques is made. Its tasteful changing order and steady state behaviours with minimum range algorithm complexity and in addition the minimum computational weight of the SPP&O algorithm demonstrate the prevalence over the state of the workmanship techniques.

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