Implementation of Maximum Power Point Tracking on Photovoltaic Using Fuzzy Logic Algorithm
Abstract: Most energy sources
that are commonly used in the world today are from fossils. This kind of energy
is unrenewable and limited. Use of solar panels (Photovoltaic, PV) to generate
electricity is growing fast and it can be used as an alternative energy instead
of fossils. The problem faced by use of solar panels is that the generated
power is not optimum for a particular load. It is always changing and influenced
by the level of light (irradiance) and temperature. Therefore we need a way to
maximize the power output of solar panels. Maximum Power Point Tracking (MPPT)
is a method for finding its maximum power point. In this research, the MPPT is
designed to locate the point of generated maximum power on solar panels. MPPT
controller designed in this research is using fuzzy logic. The voltage and
current from the solar panels are fed to the fuzzy logic controller. The output
of fuzzy logic in the form of a pulse width modulation (PWM) signal regulates
the process of switching boost converter. Experimental results showthat output
power from PV increase 15.9% and the efficiency of designed boost converter
ranges in approximatelly 90.97%.
Author: Arton Johan Lubis
Journal Code: jptkomputergg150019
