Published October 6, 2018 | Version v1
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Analysis of Fuzzy-Logic MPPT Controller for Photovoltaic Application

  • 1. Associate Professor Department of Electronics and Electrical Engineering S R Engineering College, Warangal, Telangana, India

Description

In this study nonlinearity of solar temparute and irradiation leads to variable of photovoltaic power output and reduces in efficiency. A technique based on simulation study is developed to increase the power output of the soalr panels using the combination of photovoltaic system with fuzzy logic control maximum power point tracking algorithm. The MPPT system increase the panel output power under various circumfreences. In this work, to enhance the power abstraction in a controlled manner an intelligent algorithm named as P&O set of rules is introduced, which is commonly stated as maximum power point tracking approach. The exclusive approaches i.e unit power approach and feeder-flow approaches are being penetrated into the cross-breed system. In turn, determines the reference parameters effectively. The conversion of DC output is taken over by the DC-DC buck–boost converter and implemented through the MATLAB/ SIMULINK tool to enable accuracy and excellent tracking performance at various climatic conditions. The above projected Flexi operated mode conditions go well in exacting the maximum power, greater efficiency by reducing the number of modes with improved stability and performance the system.

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References

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