A new architecture of INC-fuzzy hybrid method for tracking maximumpower purpose in PV cells


The importance and necessity of energy for human societies are so clear however the traditional sources of energy are in decline and also according to many reports using of them causes many issues like environmental pollution. The sun is one in every of the renewable sources of energy which will be thought-about as one of the good solutions for energy drawback. PV cells are typically expensive and have low potency thus extracting the maximum power of PV cells is one among the most important parts of the solar energy studies. Using of fuzzy logic is one in all the most correct strategies for tracking most power purpose however this method features a huge drawback: high value. By considering this note that reduction in number of fuzzy rules can extraordinarily cut back the prices, this paper is going to combine the INC methodology and fuzzy logic in new design in order to cut back the amount of fuzzy rules and prices without missing the accuracy. In alternative words the proposed design has the advantages of pure fuzzy system like high speed and accuracy whereas its value is therefore fewer and conjointly it is less complicated to implement. As compared between proposed design and existing INC-fuzzy technique, the results show that the new design is thus faster and additionally using of it can reduce the amount of switching in converters which suggests that the life time of converters can increase.

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