MPPT based on incremental conductance-fuzzy logic algorithm for photovoltaic system under variable climate conditions

Closed

Donny Radianto, Gamal M. Dousouky, Masahito Shoyama

2016 INTELEC, International Telecommunications Energy Conference (Proceedings) Vol. 2016-September Conference paper Cited by 0 Quartile

Abstract

This paper presents a hybrid MPPT composed of two methods: incremental conductance (INC) and Fuzzy Logic (FL) control. This method is able to track maximum power point (MPP) under variable solar irradiance. In addition to that, it generates a modulation signal to adjust the duty cycle of boost converter to ensure fast MPPT process. In order to validate both of the effectiveness and the usefulness of the proposed system, simulation analysis and comparative studies including other known methods are conducted. The results show that the proposed method can track MPP under different solar irradiance and can reduce fluctuation around MPP area. © 2015 IEEE.

Affiliations

Department of Electrical and Electronic Engineering, Kyushu University, Fukuoka, 819-0395, Japan; Department of Electrical and Electronic Engineering State Polytechnic of Malang, 65141, Indonesia; Electrical Engineering Department, Minia University, Alminia, 61517, Egypt