Journal of Research in Physics and Applied Sciences ISSN: 3139-1397 (Online)

Authors: Nandita, Daljit Kaur, Sonia Grover

Abstract: Photovoltaic cells are been used in the energy sector for past very long time. Currently, they have been used in commercial aspects also. But still, there lies a no. of disadvantages too i,e, one of the major disadvantages is
to track the maximum energy from the solar cell. Maximum energy Point Techniques (MPPT) have been designed &implemented, in order to obtain the maximum energy from the solar cell. This paper provides a method using ANFIS for number of solar cells, in order to obtain maximum energy from solar cell. The number of solar cells
provides more desirable output as opposed to their single junction solar cell. ANFIS based algorithm is applied utilizing neural network and fuzzy logic. The membership functions are designed using an initial inference and then the weights of the membership functions are found by using
Neural Network Technology. Then further, firing angle’s optimal value is calculated and then fed to the Boost converter.

Keywords: Photo-Voltaic cell, Multi-junction solar cell, Maximum Power Point Technique and Adaptive Neuro Fuzzy Inference System.