A Comparative Study between hill climbing algorithm and fuzzy Logic controller algorithm of MPPT for GPV system

EasyChair Preprint 2695, version 2

Abstract

The major problem in PV power generation systems is that the amount of electric power generated by PV module is always changing with weather conditions, i.e., irradiation. Therefore, Maximum Power Point Tracking (MPPT) algorithms is implemented which has led to the increase in the efficiency of operation of the solar modules. This paper, presents a comparative study of two intelligent control methods in order to optimize the efficiency of the solar PV system. This paper presents in details comparative study between hill climbing algorithm and fuzzy Logic controller algorithm applied to a DC/DC Boost converter device. The Boost converter increases output voltage, it is depends on the duty cycle of switch device. The proposed controllers are adjusting the duty cycle of the DC-DC converter switch to track the maximum power of a solar PV array. Finally performance comparison between hill climbing and Fuzzy logic controller method has been carried out which has result shown the effectiveness of Fuzzy controller to draw more energy, decreases fluctuations and fast response, against change in variable weather condition. The final result show the fuzzy logic controller exhibits a better performance compared to hill climbing algorithm.

Keyphrases: Boost converter, Fuzzy Logic Controller, GPV, Matlab Simulinks, Maximum Power Point, PO, Tracking, hill-climbing algorithm

@booklet{EasyChair:2695,
  author    = {Benslimane Abdelkader and Merabti Abdelhak},
  title     = {A Comparative Study between hill climbing algorithm and fuzzy Logic controller algorithm of MPPT for GPV system},
  howpublished = {EasyChair Preprint 2695},
  year      = {EasyChair, 2020}}